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Deep Learning Architect, AWS Gen AI Innovation Center
São Paulo, São Paulo
Amazon
Publicado há 25 dias atrás
Trabalho visualizado
Descrição Do Trabalho
Description
Are you looking to work at the forefront of Machine Learning and AI? Would you be excited to apply Generative AI algorithms to solve real world problems with significant impact? The Generative AI Innovation Center helps AWS customers implement Generative AI solutions and realize transformational business opportunities. This is a team of strategists, scientists, engineers, and architects working step-by-step with customers to build bespoke solutions that harness the power of generative AI.
The team helps customers imagine and scope the use cases that will create the greatest value for their businesses, define paths to navigate technical or business challenges, develop proof-of-concepts, and make plans for launching solutions at scale. The GenAI Innovation Center team provides guidance on best practices for applying generative AI responsibly and cost efficiently.
You will work directly with customers and innovate in a fast-paced organization that contributes to game-changing projects and technologies. You will design and run experiments, research new algorithms, and find new ways of optimizing risk, profitability, and customer experience.
We're looking for top architects, system and software engineers capable of using ML, Generative AI and other techniques to design, evangelize, implement and fine tune state-of-the-art solutions for never-before-solved problems.
Key job responsibilities
- Collaborate with AI/ML scientists and architects to research, design, develop, and evaluate generative AI solutions to address real-world challenges
- Interact with customers directly to understand their business problems, aid them in implementation of generative AI solutions, brief customers and guide them on adoption patterns and paths to production
- Create and deliver best practice recommendations, tutorials, blog posts, sample code, and presentations adapted to technical, business, and executive stakeholder
- Provide customer and market feedback to product and engineering teams to help define product direction
About the team
Diverse Experiences
Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying.
Why AWS
Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Inclusive Team Culture
Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.
Mentorship and Career Growth
We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud.
Basic Qualifications
- Bachelor of Science degree in Computer Science, or related technical, math, or scientific field (or equivalent experience)
- 3+ years of experience in designing, building, and/or operating cloud solutions in a production environment
- 2+ year experience hosting and deploying ML solutions (e.g., for training, fine tuning, and inference)
- 2+ years of hands on experience with Python to build, train, and evaluate models
- 2+ years of technical client engagement experience
- Ability to communicate in a business setting in English
Preferred Qualifications
- Masters or PhD degree in computer science, or related technical, math, or scientific field
- Strong working knowledge of deep learning, machine learning, generative AI, and statistics
- Experience building generative AI applications on AWS using services such as Amazon Bedrock and Amazon SageMaker
- Experience communicating across technical and non-technical audiences, including executive level stakeholders or clients
- Experience building cloud solutions with AWS
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
Are you looking to work at the forefront of Machine Learning and AI? Would you be excited to apply Generative AI algorithms to solve real world problems with significant impact? The Generative AI Innovation Center helps AWS customers implement Generative AI solutions and realize transformational business opportunities. This is a team of strategists, scientists, engineers, and architects working step-by-step with customers to build bespoke solutions that harness the power of generative AI.
The team helps customers imagine and scope the use cases that will create the greatest value for their businesses, define paths to navigate technical or business challenges, develop proof-of-concepts, and make plans for launching solutions at scale. The GenAI Innovation Center team provides guidance on best practices for applying generative AI responsibly and cost efficiently.
You will work directly with customers and innovate in a fast-paced organization that contributes to game-changing projects and technologies. You will design and run experiments, research new algorithms, and find new ways of optimizing risk, profitability, and customer experience.
We're looking for top architects, system and software engineers capable of using ML, Generative AI and other techniques to design, evangelize, implement and fine tune state-of-the-art solutions for never-before-solved problems.
Key job responsibilities
- Collaborate with AI/ML scientists and architects to research, design, develop, and evaluate generative AI solutions to address real-world challenges
- Interact with customers directly to understand their business problems, aid them in implementation of generative AI solutions, brief customers and guide them on adoption patterns and paths to production
- Create and deliver best practice recommendations, tutorials, blog posts, sample code, and presentations adapted to technical, business, and executive stakeholder
- Provide customer and market feedback to product and engineering teams to help define product direction
About the team
Diverse Experiences
Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying.
Why AWS
Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Inclusive Team Culture
Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.
Mentorship and Career Growth
We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud.
Basic Qualifications
- Bachelor of Science degree in Computer Science, or related technical, math, or scientific field (or equivalent experience)
- 3+ years of experience in designing, building, and/or operating cloud solutions in a production environment
- 2+ year experience hosting and deploying ML solutions (e.g., for training, fine tuning, and inference)
- 2+ years of hands on experience with Python to build, train, and evaluate models
- 2+ years of technical client engagement experience
- Ability to communicate in a business setting in English
Preferred Qualifications
- Masters or PhD degree in computer science, or related technical, math, or scientific field
- Strong working knowledge of deep learning, machine learning, generative AI, and statistics
- Experience building generative AI applications on AWS using services such as Amazon Bedrock and Amazon SageMaker
- Experience communicating across technical and non-technical audiences, including executive level stakeholders or clients
- Experience building cloud solutions with AWS
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
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0
Senior Deep Learning Architect, AWS Gen AI Innovation Center
São Paulo, São Paulo
Amazon
Publicado há 25 dias atrás
Trabalho visualizado
Descrição Do Trabalho
Description
Are you looking to work at the forefront of Machine Learning and AI? Would you be excited to apply Generative AI algorithms to solve real world problems with significant impact? The Generative AI Innovation Center helps AWS customers implement Generative AI solutions and realize transformational business opportunities. This is a team of strategists, scientists, engineers, and architects working step-by-step with customers to build bespoke solutions that harness the power of generative AI.
The team helps customers imagine and scope the use cases that will create the greatest value for their businesses, define paths to navigate technical or business challenges, develop proof-of-concepts, and make plans for launching solutions at scale. The GenAI Innovation Center team provides guidance on best practices for applying generative AI responsibly and cost efficiently.
You will work directly with customers and innovate in a fast-paced organization that contributes to game-changing projects and technologies. You will design and run experiments, research new algorithms, and find new ways of optimizing risk, profitability, and customer experience.
We're looking for top architects, system and software engineers capable of using ML, Generative AI and other techniques to design, evangelize, implement and fine tune state-of-the-art solutions for never-before-solved problems.
Key job responsibilities
- Collaborate with AI/ML scientists and architects to research, design, develop, and evaluate generative AI solutions to address real-world challenges
- Interact with customers directly to understand their business problems, aid them in implementation of generative AI solutions, brief customers and guide them on adoption patterns and paths to production
- Create and deliver best practice recommendations, tutorials, blog posts, sample code, and presentations adapted to technical, business, and executive stakeholder
- Provide customer and market feedback to product and engineering teams to help define product direction
A day in the life
Here at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences. Amazon's culture of inclusion is reinforced within our 16 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust.
About the team
Diverse Experiences
Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying.
Why AWS
Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Inclusive Team Culture
Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.
Mentorship and Career Growth
We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud.
Basic Qualifications
- Bachelor of Science degree in Computer Science, or related technical, math, or scientific field (or equivalent experience)
- 5+ years of experience in designing, building, and/or operating cloud solutions in a production environment
- 4+ years experience hosting and deploying ML solutions (e.g., for training, fine tuning, and inference)
- 4+ years of hands on experience with Python to build, train, and evaluate models
- 4+ years of technical client engagement experience
- Ability to communicate in a business setting in English
Preferred Qualifications
- Masters or PhD degree in computer science, or related technical, math, or scientific field
- 3+ years experience working with deep learning, machine learning, generative AI, or statistics
- Experience building generative AI applications on AWS using services such as Amazon Bedrock and Amazon SageMaker.
- Experience communicating across technical and non-technical audiences, including executive level stakeholders or clients
- Experience building cloud solutions with AWS
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
Are you looking to work at the forefront of Machine Learning and AI? Would you be excited to apply Generative AI algorithms to solve real world problems with significant impact? The Generative AI Innovation Center helps AWS customers implement Generative AI solutions and realize transformational business opportunities. This is a team of strategists, scientists, engineers, and architects working step-by-step with customers to build bespoke solutions that harness the power of generative AI.
The team helps customers imagine and scope the use cases that will create the greatest value for their businesses, define paths to navigate technical or business challenges, develop proof-of-concepts, and make plans for launching solutions at scale. The GenAI Innovation Center team provides guidance on best practices for applying generative AI responsibly and cost efficiently.
You will work directly with customers and innovate in a fast-paced organization that contributes to game-changing projects and technologies. You will design and run experiments, research new algorithms, and find new ways of optimizing risk, profitability, and customer experience.
We're looking for top architects, system and software engineers capable of using ML, Generative AI and other techniques to design, evangelize, implement and fine tune state-of-the-art solutions for never-before-solved problems.
Key job responsibilities
- Collaborate with AI/ML scientists and architects to research, design, develop, and evaluate generative AI solutions to address real-world challenges
- Interact with customers directly to understand their business problems, aid them in implementation of generative AI solutions, brief customers and guide them on adoption patterns and paths to production
- Create and deliver best practice recommendations, tutorials, blog posts, sample code, and presentations adapted to technical, business, and executive stakeholder
- Provide customer and market feedback to product and engineering teams to help define product direction
A day in the life
Here at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences. Amazon's culture of inclusion is reinforced within our 16 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust.
About the team
Diverse Experiences
Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying.
Why AWS
Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Inclusive Team Culture
Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.
Mentorship and Career Growth
We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud.
Basic Qualifications
- Bachelor of Science degree in Computer Science, or related technical, math, or scientific field (or equivalent experience)
- 5+ years of experience in designing, building, and/or operating cloud solutions in a production environment
- 4+ years experience hosting and deploying ML solutions (e.g., for training, fine tuning, and inference)
- 4+ years of hands on experience with Python to build, train, and evaluate models
- 4+ years of technical client engagement experience
- Ability to communicate in a business setting in English
Preferred Qualifications
- Masters or PhD degree in computer science, or related technical, math, or scientific field
- 3+ years experience working with deep learning, machine learning, generative AI, or statistics
- Experience building generative AI applications on AWS using services such as Amazon Bedrock and Amazon SageMaker.
- Experience communicating across technical and non-technical audiences, including executive level stakeholders or clients
- Experience building cloud solutions with AWS
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
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1
Machine Learning operations
São Paulo, São Paulo
Tata Consultancy Services
Publicado há 10 dias atrás
Trabalho visualizado
Descrição Do Trabalho
Come to one of the biggest IT Services companies in the world! Here you can transform your career!
Why to join TCS? Here at TCS we believe that people make the difference, that's why we live a culture of unlimited learning full of opportunities for improvement and mutual development. The ideal scenario to expand ideas through the right tools, contributing to our success in a collaborative environment.
We are looking for SR MLops Engineer who wants to learn and transform his career.
In this role you will:
- Deploy, automate, and monitor machine learning models in production environments.
- Develop and maintain data and model pipelines using MLOps tools.
- Provide technical support to the Data Science team, promoting best practices in Machine Learning Engineering and DevOps.
- Evolve and maintain the internal MLOps framework.
- Ensure the security, performance, and scalability of the implemented solutions.
Mandatory Skills:
- Proven experience in MLOps
- Hands-on experience with AWS
- Kubernetes for container orchestration
- MLFlow for experiment/model management
- Argus
- Kedro for pipeline orchestration
- Experience with databases (preferably Amazon Redshift, experience with other relational and non-relational databases is also valued)
- Knowledge of code versioning and CI/CD processes (Jenkins, or similar)
- Strong documentation skills and ability to communicate clearly with both technical and non-technical stakeholders
- English
Desirable skills:
- Experience with Infrastructure as Code (IaC), especially using Terraform or AWS CloudFormation
- Experience in complex data environments (distributed architectures, batch, and real-time processing)
- Knowledge of security best practices for Machine Learning pipelines
<<
What do we offer?
- TCS Benefits – Brazil:
- Health insurance
- Dental Plan
- Life insurance
- Transportation vouchers
- Meal/Food Voucher
- Childcare assistance
- Gympass
- TCS Cares – free 0800 that provides psychological assistance (24 hrs/day), legal, social and financial assistance to associates
- Partnership with SESC
- Reimbursement of Certifications
- Free TCS Learning Portal – Online courses and live training
- International experience opportunity
- Discount Partnership with Universities and Language Schools
- Bring Your Buddy – By referring people you become eligible to receive a bonus for each hire
- TCS Gems – Recognition for performance
- Xcelerate – Free Mentoring Career Platform
- Tata Consultancy Services is an equal opportunity employer, our commitment to diversity & inclusion drives our efforts to provide equal opportunity to all candidates who meet our required knowledge & competency needs, irrespective of any socio-economic background, race, color, national origin, religion, sex, gender identity/expression , age, marital status, disability, sexual orientation or any others. We encourage anyone interested to build a career in TCS to participate in our recruitment & selection process.
- At Tata Consultancy Services we promote an inclusive culture, we always work for equity. This applies to Gender, People with Disabilities, LGBTQIA+, Religion, Race, Ethnicity. All our opportunities are based on these principles. We think of different actions of inclusion and social responsibility, in order to build a TCS that respects each person. Our motto is Inclusion without exception.
At TATA Consultancy Services we promote an inclusive culture, we always work for equity. This applies to Gender, People with Disabilities, LGBTQIA+, Religion, Race, Ethnicity. All our opportunities are based on these principles. We think of different actions of inclusion and social responsibility, in order to build a TCS that respects individuality. Come to be a TCSer!
RGS -
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2
Machine Learning Engineer
Flatiron Software
Publicado há 9 dias atrás
Trabalho visualizado
Descrição Do Trabalho
About
Flatiron is a global remote software development company with engineers located around the world. We unite experts from diverse backgrounds and experiences in a collaborative culture to deliver exceptional products and services for our clients. As a forward-thinking software engineering company, we provide industry-leading solutions to complex problems in both the US and the UK. Operating in a fast-paced, agile environment, we specialize in software consulting for our clients. We offer a stimulating and rewarding environment for our team members. We value innovation, continuous learning, and professional growth, and we strive to create a workplace where everyone can thrive. Join us at Flatiron and be a part of a team that is shaping the future of software development.
Job Summary
This is a full-time fully remote working opportunity where you will be working as part of a Scrum team which requires working closely with other software engineers, stakeholders and contributors on the project. Working with respect to the US timezone is a requirement for the position. Attending meetings, being actively involved in the decision making process and collaborating with all of these stakeholders are essential parts of this position.
Key Responsibilities
- Design, develop, and deploy scalable, production-ready machine learning systems and end-to-end pipelines on AWS.
- Partner with data scientists, software engineers, and product teams to define requirements, select algorithms, and deliver impactful ML solutions.
- Architect, optimize, and maintain ML infrastructure — including data ingestion, model training, deployment, serving, monitoring, and lifecycle management — using AWS services.
- Lead the data preparation and feature engineering process, ensuring data quality, integrity, and scalability across large datasets.
- Implement and optimize ML models (supervised, unsupervised, deep learning, NLP, recommendation systems) with a focus on performance, accuracy, and reliability.
- Build and manage robust data pipelines and orchestration workflows to support ML systems at scale.
- Integrate models into backend services and APIs, ensuring seamless interaction with applications and end users.
- Contribute to MLOps practices, including CI/CD for ML, model registries, experiment tracking, automated retraining, and infrastructure-as-code provisioning.
- Utilize Infrastructure-as-Code tools such as Terraform, AWS CDK, or CloudFormation to build and maintain scalable, secure ML infrastructure.
- Stay ahead of emerging trends in AI/ML, evaluating new research, frameworks, and tools to enhance product capabilities.
- Provide technical leadership and mentorship to junior engineers, guiding best practices throughout the ML lifecycle.
Minimum Qualifications
- Advanced written and oral English proficiency.
- Bachelor’s or Master’s degree in Computer Science, Machine Learning, Data Science, or a related field.
- 7+ years of professional experience designing, building, and deploying machine learning models in production environments.
- Strong hands-on experience with AWS for ML workflows (data pipelines, model training, deployment, and monitoring).
- Expert proficiency in Python and ML frameworks such as TensorFlow, PyTorch, and scikit-learn.
- Proficiency with TypeScript for building ML-integrated backend services and automation workflows.
- Experience with Infrastructure-as-Code tools (Terraform, AWS CDK, or CloudFormation ) for deploying ML infrastructure.
- Strong knowledge of data processing and analysis tools (Pandas, NumPy, SQL) and orchestration workflows.
- Proven track record deploying ML systems into production and integrating them into real products or services at scale.
- Experience with containerization (Docker), orchestration (Kubernetes), and MLOps best practices.
Preferred Qualifications
- Experience with large language models (LLMs), retrieval-augmented generation (RAG) pipelines, or agentic AI systems.
- Expertise in deep learning, NLP, time-series forecasting, or computer vision.
- Familiarity with platforms such as MLflow, Kubeflow, or Amazon SageMaker for model lifecycle management.
- Contributions to open-source AI/ML projects or publications in the field.
- Understanding of data engineering workflows, ETL pipelines, and real-time data processing
Benefits
- Yearly Office Allowance Budget
- Macbook Purchase Support
- Wellbeing Support
If you are a good fit for the position, please apply through LinkedIn.
We only accept CVs that are in English.
Flatiron has a zero tolerance to discrimination policy. In this regard, during the course of the evaluation of your job application and all your employment relation, if any, all discriminatory factors such as race, sex, sexual orientation, social gender definitions/roles, color, national or social background, ethnicity, religion, age, disablement, political opinion or any status that is protected under law shall be disregarded.
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3
Machine Learning Scientist
SAP
Publicado há 23 dias atrás
Trabalho visualizado
Descrição Do Trabalho
**We help the world run better**
At SAP, we enable you to bring out your best. Our company culture is focused on collaboration and a shared passion to help the world run better. How? We focus every day on building the foundation for tomorrow and creating a workplace that embraces differences, values flexibility, and is aligned to our purpose-driven and future-focused work. We offer a highly collaborative, caring team environment with a strong focus on learning and development, recognition for your individual contributions, and a variety of benefit options for you to choose from.
We are looking for a seasoned machine learning scientist to join our team at SAP Concur to deliver world class applied AI solutions to millions of users. We solve real-world challenges faced by SAP's global customers with scalable and robust AI-augmented user experiences. This position is at the forefront of innovation and ambitious AI roadmap of SAP Concur. This is a high-impact individual contributor role for someone who thrives in a fast-paced, data-driven environment, and have a passion for applied AI systems.
**Required Skills and Experience:**
+ Proven hands-on experience with ML / deep learning frameworks, NLP, LLMs and agents
+ Strong track record in experimentation and evaluation of ML / AI models, LLMs and agents
+ Extensive experience with at least one major cloud platform, AWS preferred
+ Strong proficiency in Python and SQL
+ Demonstrated ability to drive decisions using a data-driven mindset
**Preferred Skills and Experience:**
+ Experience with agentic systems and frameworks
+ Experience with LLM fine-tuning, distillation, retrieval-augmented generation (RAG) systems, grounding techniques
+ Experience with ML model / LLM deployment and productionization
**Tasks:**
In this job, you will work closely with our Concur Spend AI team and the Spend product team to deliver real-world, high user-impact AI-driven product features in Finance and Spend domain. Specifically, you will
+ Explore, implement, experiment and evaluate the most recent LLMs and agentic frameworks in AI field for our use cases;
+ Push the frontiers of applied AI with real-world data and application.
+ Work with interdisciplinary teams of developers, designers, and business experts to develop solutions with real measurable customer impact.
+ Help to ensure performance, reliability and ongoing improvement of our model deliverables in continuous collaboration with development teams.
_Please submit your CV in English_
**Bring out your best**
SAP innovations help more than four hundred thousand customers worldwide work together more efficiently and use business insight more effectively. Originally known for leadership in enterprise resource planning (ERP) software, SAP has evolved to become a market leader in end-to-end business application software and related services for database, analytics, intelligent technologies, and experience management. As a cloud company with two hundred million users and more than one hundred thousand employees worldwide, we are purpose-driven and future-focused, with a highly collaborative team ethic and commitment to personal development. Whether connecting global industries, people, or platforms, we help ensure every challenge gets the solution it deserves. At SAP, you can bring out your best.
**We win with inclusion**
SAP's culture of inclusion, focus on health and well-being, and flexible working models help ensure that everyone - regardless of background - feels included and can run at their best. At SAP, we believe we are made stronger by the unique capabilities and qualities that each person brings to our company, and we invest in our employees to inspire confidence and help everyone realize their full potential. We ultimately believe in unleashing all talent and creating a better and more equitable world.
SAP is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to the values of Equal Employment Opportunity and provide accessibility accommodations to applicants with physical and/or mental disabilities. If you are interested in applying for employment with SAP and are in need of accommodation or special assistance to navigate our website or to complete your application, please send an e-mail with your request to Recruiting Operations Team:
For SAP employees: Only permanent roles are eligible for the SAP Employee Referral Program, according to the eligibility rules set in the SAP Referral Policy ( . Specific conditions may apply for roles in Vocational Training.
**EOE AA M/F/Vet/Disability:**
Qualified applicants will receive consideration for employment without regard to their age, race, religion, national origin, ethnicity, age, gender (including pregnancy, childbirth, et al), sexual orientation, gender identity or expression, protected veteran status, or disability.
Successful candidates might be required to undergo a background verification with an external vendor.
Requisition ID: | Work Area: Software-Design and Development | Expected Travel: 0 - 10% | Career Status: Professional | Employment Type: Regular Full Time | Additional Locations: #LI-Hybrid.
At SAP, we enable you to bring out your best. Our company culture is focused on collaboration and a shared passion to help the world run better. How? We focus every day on building the foundation for tomorrow and creating a workplace that embraces differences, values flexibility, and is aligned to our purpose-driven and future-focused work. We offer a highly collaborative, caring team environment with a strong focus on learning and development, recognition for your individual contributions, and a variety of benefit options for you to choose from.
We are looking for a seasoned machine learning scientist to join our team at SAP Concur to deliver world class applied AI solutions to millions of users. We solve real-world challenges faced by SAP's global customers with scalable and robust AI-augmented user experiences. This position is at the forefront of innovation and ambitious AI roadmap of SAP Concur. This is a high-impact individual contributor role for someone who thrives in a fast-paced, data-driven environment, and have a passion for applied AI systems.
**Required Skills and Experience:**
+ Proven hands-on experience with ML / deep learning frameworks, NLP, LLMs and agents
+ Strong track record in experimentation and evaluation of ML / AI models, LLMs and agents
+ Extensive experience with at least one major cloud platform, AWS preferred
+ Strong proficiency in Python and SQL
+ Demonstrated ability to drive decisions using a data-driven mindset
**Preferred Skills and Experience:**
+ Experience with agentic systems and frameworks
+ Experience with LLM fine-tuning, distillation, retrieval-augmented generation (RAG) systems, grounding techniques
+ Experience with ML model / LLM deployment and productionization
**Tasks:**
In this job, you will work closely with our Concur Spend AI team and the Spend product team to deliver real-world, high user-impact AI-driven product features in Finance and Spend domain. Specifically, you will
+ Explore, implement, experiment and evaluate the most recent LLMs and agentic frameworks in AI field for our use cases;
+ Push the frontiers of applied AI with real-world data and application.
+ Work with interdisciplinary teams of developers, designers, and business experts to develop solutions with real measurable customer impact.
+ Help to ensure performance, reliability and ongoing improvement of our model deliverables in continuous collaboration with development teams.
_Please submit your CV in English_
**Bring out your best**
SAP innovations help more than four hundred thousand customers worldwide work together more efficiently and use business insight more effectively. Originally known for leadership in enterprise resource planning (ERP) software, SAP has evolved to become a market leader in end-to-end business application software and related services for database, analytics, intelligent technologies, and experience management. As a cloud company with two hundred million users and more than one hundred thousand employees worldwide, we are purpose-driven and future-focused, with a highly collaborative team ethic and commitment to personal development. Whether connecting global industries, people, or platforms, we help ensure every challenge gets the solution it deserves. At SAP, you can bring out your best.
**We win with inclusion**
SAP's culture of inclusion, focus on health and well-being, and flexible working models help ensure that everyone - regardless of background - feels included and can run at their best. At SAP, we believe we are made stronger by the unique capabilities and qualities that each person brings to our company, and we invest in our employees to inspire confidence and help everyone realize their full potential. We ultimately believe in unleashing all talent and creating a better and more equitable world.
SAP is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to the values of Equal Employment Opportunity and provide accessibility accommodations to applicants with physical and/or mental disabilities. If you are interested in applying for employment with SAP and are in need of accommodation or special assistance to navigate our website or to complete your application, please send an e-mail with your request to Recruiting Operations Team:
For SAP employees: Only permanent roles are eligible for the SAP Employee Referral Program, according to the eligibility rules set in the SAP Referral Policy ( . Specific conditions may apply for roles in Vocational Training.
**EOE AA M/F/Vet/Disability:**
Qualified applicants will receive consideration for employment without regard to their age, race, religion, national origin, ethnicity, age, gender (including pregnancy, childbirth, et al), sexual orientation, gender identity or expression, protected veteran status, or disability.
Successful candidates might be required to undergo a background verification with an external vendor.
Requisition ID: | Work Area: Software-Design and Development | Expected Travel: 0 - 10% | Career Status: Professional | Employment Type: Regular Full Time | Additional Locations: #LI-Hybrid.
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4
Machine Learning Engineer
Brasil, São Paulo
Flatiron Software
Hoje
Trabalho visualizado
Descrição Do Trabalho
About
Flatiron is a global remote software development company with engineers located around the world. We unite experts from diverse backgrounds and experiences in a collaborative culture to deliver exceptional products and services for our clients. As a forward-thinking software engineering company, we provide industry-leading solutions to complex problems in both the US and the UK. Operating in a fast-paced, agile environment, we specialize in software consulting for our clients. We offer a stimulating and rewarding environment for our team members. We value innovation, continuous learning, and professional growth, and we strive to create a workplace where everyone can thrive. Join us at Flatiron and be a part of a team that is shaping the future of software development.
Job Summary
This is a full-time fully remote working opportunity where you will be working as part of a Scrum team which requires working closely with other software engineers, stakeholders and contributors on the project. Working with respect to the US timezone is a requirement for the position. Attending meetings, being actively involved in the decision making process and collaborating with all of these stakeholders are essential parts of this position.
Key Responsibilities
- Design, develop, and deploy scalable, production-ready machine learning systems and end-to-end pipelines on AWS.
- Partner with data scientists, software engineers, and product teams to define requirements, select algorithms, and deliver impactful ML solutions.
- Architect, optimize, and maintain ML infrastructure — including data ingestion, model training, deployment, serving, monitoring, and lifecycle management — using AWS services.
- Lead the data preparation and feature engineering process, ensuring data quality, integrity, and scalability across large datasets.
- Implement and optimize ML models (supervised, unsupervised, deep learning, NLP, recommendation systems) with a focus on performance, accuracy, and reliability.
- Build and manage robust data pipelines and orchestration workflows to support ML systems at scale.
- Integrate models into backend services and APIs, ensuring seamless interaction with applications and end users.
- Contribute to MLOps practices, including CI/CD for ML, model registries, experiment tracking, automated retraining, and infrastructure-as-code provisioning.
- Utilize Infrastructure-as-Code tools such as Terraform, AWS CDK, or CloudFormation to build and maintain scalable, secure ML infrastructure.
- Stay ahead of emerging trends in AI/ML, evaluating new research, frameworks, and tools to enhance product capabilities.
- Provide technical leadership and mentorship to junior engineers, guiding best practices throughout the ML lifecycle.
Minimum Qualifications
- Advanced written and oral English proficiency.
- Bachelor’s or Master’s degree in Computer Science, Machine Learning, Data Science, or a related field.
- 7+ years of professional experience designing, building, and deploying machine learning models in production environments.
- Strong hands-on experience with AWS for ML workflows (data pipelines, model training, deployment, and monitoring).
- Expert proficiency in Python and ML frameworks such as TensorFlow, PyTorch, and scikit-learn.
- Proficiency with TypeScript for building ML-integrated backend services and automation workflows.
- Experience with Infrastructure-as-Code tools ( Terraform, AWS CDK, or CloudFormation ) for deploying ML infrastructure.
- Strong knowledge of data processing and analysis tools (Pandas, NumPy, SQL) and orchestration workflows.
- Proven track record deploying ML systems into production and integrating them into real products or services at scale.
- Experience with containerization (Docker), orchestration (Kubernetes), and MLOps best practices.
Preferred Qualifications
- Experience with large language models (LLMs), retrieval-augmented generation (RAG) pipelines, or agentic AI systems.
- Expertise in deep learning, NLP, time-series forecasting, or computer vision.
- Familiarity with platforms such as MLflow, Kubeflow, or Amazon SageMaker for model lifecycle management.
- Contributions to open-source AI/ML projects or publications in the field.
- Understanding of data engineering workflows, ETL pipelines, and real-time data processing
Benefits
- Yearly Office Allowance Budget
- Macbook Purchase Support
- Wellbeing Support
If you are a good fit for the position, please apply through LinkedIn.
We only accept CVs that are in English.
Flatiron has a zero tolerance to discrimination policy. In this regard, during the course of the evaluation of your job application and all your employment relation, if any, all discriminatory factors such as race, sex, sexual orientation, social gender definitions/roles, color, national or social background, ethnicity, religion, age, disablement, political opinion or any status that is protected under law shall be disregarded.
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5
Machine Learning operations
São Paulo, São Paulo
Tata Consultancy Services
Hoje
Trabalho visualizado
Descrição Do Trabalho
Come to one of the biggest IT Services companies in the world! Here you can transform your career!
Why to join TCS? Here at TCS we believe that people make the difference, that's why we live a culture of unlimited learning full of opportunities for improvement and mutual development. The ideal scenario to expand ideas through the right tools, contributing to our success in a collaborative environment.
We are looking for SR MLops Engineer who wants to learn and transform his career.
In this role you will:
- Deploy, automate, and monitor machine learning models in production environments.
- Develop and maintain data and model pipelines using MLOps tools.
- Provide technical support to the Data Science team, promoting best practices in Machine Learning Engineering and DevOps.
- Evolve and maintain the internal MLOps framework.
- Ensure the security, performance, and scalability of the implemented solutions.
Mandatory Skills:
- Proven experience in MLOps
- Hands-on experience with AWS
- Kubernetes for container orchestration
- MLFlow for experiment/model management
- Argus
- Kedro for pipeline orchestration
- Experience with databases (preferably Amazon Redshift, experience with other relational and non-relational databases is also valued)
- Knowledge of code versioning and CI/CD processes (Jenkins, or similar)
- Strong documentation skills and ability to communicate clearly with both technical and non-technical stakeholders
- English
Desirable skills:
- Experience with Infrastructure as Code (IaC), especially using Terraform or AWS CloudFormation
- Experience in complex data environments (distributed architectures, batch, and real-time processing)
- Knowledge of security best practices for Machine Learning pipelines
<<
What do we offer?
- TCS Benefits – Brazil:
- Health insurance
- Dental Plan
- Life insurance
- Transportation vouchers
- Meal/Food Voucher
- Childcare assistance
- Gympass
- TCS Cares – free 0800 that provides psychological assistance (24 hrs/day), legal, social and financial assistance to associates
- Partnership with SESC
- Reimbursement of Certifications
- Free TCS Learning Portal – Online courses and live training
- International experience opportunity
- Discount Partnership with Universities and Language Schools
- Bring Your Buddy – By referring people you become eligible to receive a bonus for each hire
- TCS Gems – Recognition for performance
- Xcelerate – Free Mentoring Career Platform
- Tata Consultancy Services is an equal opportunity employer, our commitment to diversity & inclusion drives our efforts to provide equal opportunity to all candidates who meet our required knowledge & competency needs, irrespective of any socio-economic background, race, color, national origin, religion, sex, gender identity/expression , age, marital status, disability, sexual orientation or any others. We encourage anyone interested to build a career in TCS to participate in our recruitment & selection process.
- At Tata Consultancy Services we promote an inclusive culture, we always work for equity. This applies to Gender, People with Disabilities, LGBTQIA+, Religion, Race, Ethnicity. All our opportunities are based on these principles. We think of different actions of inclusion and social responsibility, in order to build a TCS that respects each person. Our motto is Inclusion without exception.
At TATA Consultancy Services we promote an inclusive culture, we always work for equity. This applies to Gender, People with Disabilities, LGBTQIA+, Religion, Race, Ethnicity. All our opportunities are based on these principles. We think of different actions of inclusion and social responsibility, in order to build a TCS that respects individuality. Come to be a TCSer!
RGS -
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6
Machine Learning Operations (MLOps)
Tech Mahindra - Brasil
Publicado há 10 dias atrás
Trabalho visualizado
Descrição Do Trabalho
Estamos em busca de um Machine Learning Operations com experiência sólica em:
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7
Senior Machine Learning Engineer
Pride Global
Publicado há 11 dias atrás
Trabalho visualizado
Descrição Do Trabalho
The Senior Machine Learning Engineer owns the development and deployment of machine learning solutions and influences the technical direction of their team. They will work closely with Product and Engineering partners in the development of the solution.
- Lead the development and deployment of Machine Learning solutions to solve business problems.
- Develop and maintain clean, efficient, and scalable code that meets industry standards
- Analyze large datasets to extract actionable insights and make informed decisions.
- Employ state-of-the-art Machine Learning methodologies and frameworks to develop robust and scalable models.
- Influence technical direction and take ownership of key components of systems and solutions, ensuring that they meet the needs of the business.
- Collaborate with key stakeholders in the development of data-driven solutions and deployable products.
- Mentor junior team members to help establish team domain expertise.
- Contribute to the companys intellectual property and technical leadership through patents and publications at top-tier conferences and journals.
Requirements:
- 5+ years of industry experience in applied Machine Learning
- Masters Degree or PhD in CS / ML or related field
- 3+ years experience in building, deploying, and managing machine learning and deep learning models in production environments at scale
- Deep understanding of ML best practices (A/B testing, training/serving pipelines, feature engineering etc), algorithms/techniques (gradient boosting, deep neural networks, optimization, regularization), and experiment design
- Experience in at least one of these domains: price estimation, personalization, recommender systems, computer vision, fraud detection and authentication, marketing
- Extensive experience in scientific libraries in Python (numpy, pandas) and Machine Learning tools and frameworks (Scikit-Learn, Tensorflow, Keras, PyTorch)
- Strong data engineering skills and experience working with large scale datasets
- Experience with big data tools (Apache Beam, Apache Kafka, Spark)
- Experience with cloud technologies AWS, GCP or Azure
Fluency in Python, SQL
Preferred Requirements:
- PhD preferred (CS, ML, AI or related field)
- Background in applying ML techniques to solve real-world business problems in the retail sector.
- Familiarity with MLOps tools and pipelines.
- Impact-focused and passionate about delivering high-quality models.
- Demonstrated leadership experience, with the ability to lead and inspire a team.
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8
Pessoa Engenheira Machine Learning
Rio de Janeiro, Rio de Janeiro
NTT America, Inc.
Publicado há 15 dias atrás
Trabalho visualizado
Descrição Do Trabalho
Projetos **desafiadores** , que buscam cada vez mais soluções **tecnológicas** e **humanas** na experiência e no contato com as pessoas.
Nossa cultura de mente aberta torna o **ambiente horizontal** para que as decisões sejam tomadas com base em fatos e dados, colocando os interesses dos clientes sempre em primeiro lugar.
Uma empresa de pessoas que trabalham com **autonomia** e **criatividade** . Com espírito empreendedor, **cada um de nós protagoniza a sua própria história** .
Apesar de todos terem autonomia para assumir as rédeas da própria vida, **a nossa rotina é intensa** por sonharmos grande e amarmos o que fazemos!
**Colaboração**
Confiança: transparência e coerência;
Atitude doadora: pedir ajuda e oferecê-la;
Incentivar projetos e iniciativas compartilhadas: desencorajar a criação de silos.
**Compromisso**
Criar oportunidades de crescimento para o nosso pessoal;
Pensar grande: estabeleça metas ambiciosas e sustentáveis;
Ser responsável e fazer as coisas acontecerem;
Amar o que você faz;
Ser autêntico.
**Curiosidade**
Desafie o estado atual e ofereça novas perspectivas;
Invista tempo em seu próprio autodesenvolvimento;
Recompense a mentalidade de aprendizagem contínua;
Abrace a diversidade e a singularidade.
**O que esperamos de ti:**
+ Estamos em busca de um(a) Engenheiro(a) de Machine Learning com experiência em ambientes escaláveis e domínio do ecossistema Azure;
+ Construir, implantar e operacionalizar modelos de Machine Learning em escala, utilizando ferramentas e serviços da Azure;
+ Atuar em parceria com cientistas de dados, engenheiros e arquitetos para automatizar pipelines de: treinamento de modelos, inferência em produção e monitoramento contínuo de performance;
+ Garantir boas práticas de MLOps, versionamento e governança de modelos.
**Requisitos:**
+ Experiência em Azure Machine Learning (AML);
+ Experiência em Azure Databricks (MLflow, PySpark, Delta Lake) e em Azure DevOps (CI/CD voltado para MLOps);
+ Domínio em Python com bibliotecas como scikit-learn, TensorFlow e PyTorch;
+ Experiência em Feature Store, Model Registry e processos de Deployment (AKS, ACI);
+ Experiência em Git e versionamento de código/modelos;
+ Conhecimento sólido com Pipelines de DataOps e MLOps;
+ Conhecimento em Azure Data Lake Storage (ADLS Gen2) e Azure Synapse Analytics;
+ Inglês: Avançado para conversação.
***Todas as nossas vagas estão disponíveis para Pessoas com Deficiência.**
Na **NTT DATA** , trabalhamos para promover uma **cultura inclusiva** , acreditamos na força da **diversidade** para gerar inovação e atingir **resultados incríveis** , por isso, não fazemos distinção para pessoas com deficiência, gênero, orientação sexual, raça/etnia, idade, origem, constituição familiar e estética. Trabalhamos todas as nossas vagas com base nessa premissa. **Faça parte do nosso time!**
Nossa cultura de mente aberta torna o **ambiente horizontal** para que as decisões sejam tomadas com base em fatos e dados, colocando os interesses dos clientes sempre em primeiro lugar.
Uma empresa de pessoas que trabalham com **autonomia** e **criatividade** . Com espírito empreendedor, **cada um de nós protagoniza a sua própria história** .
Apesar de todos terem autonomia para assumir as rédeas da própria vida, **a nossa rotina é intensa** por sonharmos grande e amarmos o que fazemos!
**Colaboração**
Confiança: transparência e coerência;
Atitude doadora: pedir ajuda e oferecê-la;
Incentivar projetos e iniciativas compartilhadas: desencorajar a criação de silos.
**Compromisso**
Criar oportunidades de crescimento para o nosso pessoal;
Pensar grande: estabeleça metas ambiciosas e sustentáveis;
Ser responsável e fazer as coisas acontecerem;
Amar o que você faz;
Ser autêntico.
**Curiosidade**
Desafie o estado atual e ofereça novas perspectivas;
Invista tempo em seu próprio autodesenvolvimento;
Recompense a mentalidade de aprendizagem contínua;
Abrace a diversidade e a singularidade.
**O que esperamos de ti:**
+ Estamos em busca de um(a) Engenheiro(a) de Machine Learning com experiência em ambientes escaláveis e domínio do ecossistema Azure;
+ Construir, implantar e operacionalizar modelos de Machine Learning em escala, utilizando ferramentas e serviços da Azure;
+ Atuar em parceria com cientistas de dados, engenheiros e arquitetos para automatizar pipelines de: treinamento de modelos, inferência em produção e monitoramento contínuo de performance;
+ Garantir boas práticas de MLOps, versionamento e governança de modelos.
**Requisitos:**
+ Experiência em Azure Machine Learning (AML);
+ Experiência em Azure Databricks (MLflow, PySpark, Delta Lake) e em Azure DevOps (CI/CD voltado para MLOps);
+ Domínio em Python com bibliotecas como scikit-learn, TensorFlow e PyTorch;
+ Experiência em Feature Store, Model Registry e processos de Deployment (AKS, ACI);
+ Experiência em Git e versionamento de código/modelos;
+ Conhecimento sólido com Pipelines de DataOps e MLOps;
+ Conhecimento em Azure Data Lake Storage (ADLS Gen2) e Azure Synapse Analytics;
+ Inglês: Avançado para conversação.
***Todas as nossas vagas estão disponíveis para Pessoas com Deficiência.**
Na **NTT DATA** , trabalhamos para promover uma **cultura inclusiva** , acreditamos na força da **diversidade** para gerar inovação e atingir **resultados incríveis** , por isso, não fazemos distinção para pessoas com deficiência, gênero, orientação sexual, raça/etnia, idade, origem, constituição familiar e estética. Trabalhamos todas as nossas vagas com base nessa premissa. **Faça parte do nosso time!**
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9