352 Empregos para Dados Sênior - Brasil

Machine Learning operations

São Paulo, São Paulo Tata Consultancy Services

Publicado há 9 dias atrás

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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!


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Machine Learning Engineer

Flatiron Software

Publicado há 9 dias atrás

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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.

Desculpe, este trabalho não está disponível em sua região

Machine Learning Scientist

SAP

Publicado há 23 dias atrás

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**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.
Desculpe, este trabalho não está disponível em sua região

Machine Learning Engineer

Brasil, São Paulo Flatiron Software

Hoje

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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.

Desculpe, este trabalho não está disponível em sua região

Machine Learning operations

São Paulo, São Paulo Tata Consultancy Services

Hoje

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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 -

Desculpe, este trabalho não está disponível em sua região

Machine Learning Engineer

Amazonas , Amazonas Flatiron Software

Hoje

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Descrição Do Trabalho

full-time

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.

Desculpe, este trabalho não está disponível em sua região

Engenheiro de Dados Senior

FOURSYS

Publicado há 10 dias atrás

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A Foursys é um time apaixonado por inovação, design e transformação digital. Somos globais, somos GPTW.


Na Foursys, celebramos a diversidade e acreditamos que são as diferentes ideias e perspectivas que nos enriquecem. Portanto, sua cor, religião, gênero, raça, nacionalidade, idade, origem, identidade de gênero, deficiência ou orientação sexual não são barreiras para se juntar à nossa equipe. #VemSerFoursys! Todas as nossas vagas estão abertas para Pessoas com Deficiência (PCD). Caso você se enquadre ou conheça alguém com o perfil, a Foursys é a empresa ideal!


Que tal se juntar a nós e se tornar um(a) #FourTalent? Então se liga nessa oportunidade incrível:


Responsabilidades e Atribuições:


Estamos em busca de uma pessoa engenheira de dados sênior com paixão por transformar dados em conhecimento e com experiência sólida na construção de pipelines robustos. Se você é uma pessoa que busca constantemente otimizar processos e tem uma mentalidade analítica, essa é a sua oportunidade.


Habilidades:


Habilidades Técnicas:


- SCALA

- CLOUD

- BIG DATA

- Engenharia de dados_INATIVO_X

- Data warehouse_INATIVO_X

- lambda

- Datalake

- Streaming

- ARQUITETURA BATCH

- KAPPA


Habilidades Comportamentais:


- Proatividade

- Comunicação


Modelo de Trabalho: 100% Remoto


E temos também o Clube da Four que oferece ótimas vantagens!


Assistência médica;

VR e VA flexível;

Gympass e Wellz;

Parceria com o SESC;

Descontos em restaurantes;

Descontos em cursos técnicos e de ensinos superior;

Descontos em escolas e plataformas de idiomas.


E aí, aceita o desafio? Então conclua sua candidatura e #VemSerFoursys! Boa sorte!


A Foursys é um time apaixonado por inovação, design e transformação digital. Somos globais, somos GPTW.


Na Foursys, celebramos a diversidade e acreditamos que são as diferentes ideias e perspectivas que nos enriquecem. Portanto, sua cor, religião, gênero, raça, nacionalidade, idade, origem, identidade de gênero, deficiência ou orientação sexual não são barreiras para se juntar à nossa equipe. #VemSerFoursys! Todas as nossas vagas estão abertas para Pessoas com Deficiência (PCD). Caso você se enquadre ou conheça alguém com o perfil, a Foursys é a empresa ideal!


Que tal se juntar a nós e se tornar um(a) #FourTalent? Então se liga nessa oportunidade incrível:


Responsabilidades e Atribuições:


Estamos em busca de uma pessoa engenheira de dados sênior com paixão por transformar dados em conhecimento e com experiência sólida na construção de pipelines robustos. Se você é uma pessoa que busca constantemente otimizar processos e tem uma mentalidade analítica, essa é a sua oportunidade.


Habilidades:


Habilidades Técnicas:


- SCALA

- CLOUD

- BIG DATA

- Engenharia de dados_INATIVO_X

- Data warehouse_INATIVO_X

- lambda

- Datalake

- Streaming

- ARQUITETURA BATCH

- KAPPA


Habilidades Comportamentais:


- Proatividade

- Comunicação


Modelo de Trabalho: 100% Remoto


E temos também o Clube da Four que oferece ótimas vantagens!


Assistência médica;

VR e VA flexível;

Gympass e Wellz;

Parceria com o SESC;

Descontos em restaurantes;

Descontos em cursos técnicos e de ensinos superior;

Descontos em escolas e plataformas de idiomas.


E aí, aceita o desafio? Então conclua sua candidatura e #VemSerFoursys! Boa sorte!

Desculpe, este trabalho não está disponível em sua região
Seja o primeiro a saber

Sobre o mais recente Dados sênior Empregos em Brasil !

Engenheiro de Dados Senior

Brasil, São Paulo FOURSYS

Hoje

Trabalho visualizado

Toque novamente para fechar

Descrição Do Trabalho

A Foursys é um time apaixonado por inovação, design e transformação digital. Somos globais, somos GPTW.

Na Foursys, celebramos a diversidade e acreditamos que são as diferentes ideias e perspectivas que nos enriquecem. Portanto, sua cor, religião, gênero, raça, nacionalidade, idade, origem, identidade de gênero, deficiência ou orientação sexual não são barreiras para se juntar à nossa equipe. #VemSerFoursys! Todas as nossas vagas estão abertas para Pessoas com Deficiência (PCD). Caso você se enquadre ou conheça alguém com o perfil, a Foursys é a empresa ideal!

Que tal se juntar a nós e se tornar um(a) #FourTalent? Então se liga nessa oportunidade incrível:

Responsabilidades e Atribuições:

Estamos em busca de uma pessoa engenheira de dados sênior com paixão por transformar dados em conhecimento e com experiência sólida na construção de pipelines robustos. Se você é uma pessoa que busca constantemente otimizar processos e tem uma mentalidade analítica, essa é a sua oportunidade.

Habilidades:

Habilidades Técnicas:

- SCALA

- CLOUD

- BIG DATA

- Engenharia de dados_INATIVO_X

- Data warehouse_INATIVO_X

- lambda

- Datalake

- Streaming

- ARQUITETURA BATCH

- KAPPA

Habilidades Comportamentais:

- Proatividade

- Comunicação

Modelo de Trabalho: 100% Remoto

E temos também o Clube da Four que oferece ótimas vantagens!

Assistência médica;

VR e VA flexível;

Gympass e Wellz;

Parceria com o SESC;

Descontos em restaurantes;

Descontos em cursos técnicos e de ensinos superior;

Descontos em escolas e plataformas de idiomas.

E aí, aceita o desafio? Então conclua sua candidatura e #VemSerFoursys! Boa sorte!

A Foursys é um time apaixonado por inovação, design e transformação digital. Somos globais, somos GPTW.

Na Foursys, celebramos a diversidade e acreditamos que são as diferentes ideias e perspectivas que nos enriquecem. Portanto, sua cor, religião, gênero, raça, nacionalidade, idade, origem, identidade de gênero, deficiência ou orientação sexual não são barreiras para se juntar à nossa equipe. #VemSerFoursys! Todas as nossas vagas estão abertas para Pessoas com Deficiência (PCD). Caso você se enquadre ou conheça alguém com o perfil, a Foursys é a empresa ideal!

Que tal se juntar a nós e se tornar um(a) #FourTalent? Então se liga nessa oportunidade incrível:

Responsabilidades e Atribuições:

Estamos em busca de uma pessoa engenheira de dados sênior com paixão por transformar dados em conhecimento e com experiência sólida na construção de pipelines robustos. Se você é uma pessoa que busca constantemente otimizar processos e tem uma mentalidade analítica, essa é a sua oportunidade.

Habilidades:

Habilidades Técnicas:

- SCALA

- CLOUD

- BIG DATA

- Engenharia de dados_INATIVO_X

- Data warehouse_INATIVO_X

- lambda

- Datalake

- Streaming

- ARQUITETURA BATCH

- KAPPA

Habilidades Comportamentais:

- Proatividade

- Comunicação

Modelo de Trabalho: 100% Remoto

E temos também o Clube da Four que oferece ótimas vantagens!

Assistência médica;

VR e VA flexível;

Gympass e Wellz;

Parceria com o SESC;

Descontos em restaurantes;

Descontos em cursos técnicos e de ensinos superior;

Descontos em escolas e plataformas de idiomas.

E aí, aceita o desafio? Então conclua sua candidatura e #VemSerFoursys! Boa sorte!

Desculpe, este trabalho não está disponível em sua região

Engenheiro de Dados Senior

Amazonas , Amazonas FOURSYS

Hoje

Trabalho visualizado

Toque novamente para fechar

Descrição Do Trabalho

full-time

A Foursys é um time apaixonado por inovação, design e transformação digital. Somos globais, somos GPTW.

Na Foursys, celebramos a diversidade e acreditamos que são as diferentes ideias e perspectivas que nos enriquecem. Portanto, sua cor, religião, gênero, raça, nacionalidade, idade, origem, identidade de gênero, deficiência ou orientação sexual não são barreiras para se juntar à nossa equipe. #VemSerFoursys! Todas as nossas vagas estão abertas para Pessoas com Deficiência (PCD). Caso você se enquadre ou conheça alguém com o perfil, a Foursys é a empresa ideal!

Que tal se juntar a nós e se tornar um(a) #FourTalent? Então se liga nessa oportunidade incrível:

Responsabilidades e Atribuições:

Estamos em busca de uma pessoa engenheira de dados sênior com paixão por transformar dados em conhecimento e com experiência sólida na construção de pipelines robustos. Se você é uma pessoa que busca constantemente otimizar processos e tem uma mentalidade analítica, essa é a sua oportunidade.

Habilidades:

Habilidades Técnicas:

- SCALA

- CLOUD

- BIG DATA

- Engenharia de dados_INATIVO_X

- Data warehouse_INATIVO_X

- lambda

- Datalake

- Streaming

- ARQUITETURA BATCH

- KAPPA

Habilidades Comportamentais:

- Proatividade

- Comunicação

Modelo de Trabalho: 100% Remoto

E temos também o Clube da Four que oferece ótimas vantagens!

Assistência médica;

VR e VA flexível;

Gympass e Wellz;

Parceria com o SESC;

Descontos em restaurantes;

Descontos em cursos técnicos e de ensinos superior;

Descontos em escolas e plataformas de idiomas.

E aí, aceita o desafio? Então conclua sua candidatura e #VemSerFoursys! Boa sorte!

A Foursys é um time apaixonado por inovação, design e transformação digital. Somos globais, somos GPTW.

Na Foursys, celebramos a diversidade e acreditamos que são as diferentes ideias e perspectivas que nos enriquecem. Portanto, sua cor, religião, gênero, raça, nacionalidade, idade, origem, identidade de gênero, deficiência ou orientação sexual não são barreiras para se juntar à nossa equipe. #VemSerFoursys! Todas as nossas vagas estão abertas para Pessoas com Deficiência (PCD). Caso você se enquadre ou conheça alguém com o perfil, a Foursys é a empresa ideal!

Que tal se juntar a nós e se tornar um(a) #FourTalent? Então se liga nessa oportunidade incrível:

Responsabilidades e Atribuições:

Estamos em busca de uma pessoa engenheira de dados sênior com paixão por transformar dados em conhecimento e com experiência sólida na construção de pipelines robustos. Se você é uma pessoa que busca constantemente otimizar processos e tem uma mentalidade analítica, essa é a sua oportunidade.

Habilidades:

Habilidades Técnicas:

- SCALA

- CLOUD

- BIG DATA

- Engenharia de dados_INATIVO_X

- Data warehouse_INATIVO_X

- lambda

- Datalake

- Streaming

- ARQUITETURA BATCH

- KAPPA

Habilidades Comportamentais:

- Proatividade

- Comunicação

Modelo de Trabalho: 100% Remoto

E temos também o Clube da Four que oferece ótimas vantagens!

Assistência médica;

VR e VA flexível;

Gympass e Wellz;

Parceria com o SESC;

Descontos em restaurantes;

Descontos em cursos técnicos e de ensinos superior;

Descontos em escolas e plataformas de idiomas.

E aí, aceita o desafio? Então conclua sua candidatura e #VemSerFoursys! Boa sorte!

Desculpe, este trabalho não está disponível em sua região

Machine Learning Operations (MLOps)

Tech Mahindra - Brasil

Publicado há 9 dias atrás

Trabalho visualizado

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Descrição Do Trabalho

Estamos em busca de um Machine Learning Operations com experiência sólica em:


Desculpe, este trabalho não está disponível em sua região
 

Locais próximos

Outros empregos perto de mim

Indústria

  1. workAdministrativo
  2. ecoAgricultura e Florestas
  3. schoolAprendizagem e Estágios
  4. apartmentArquitetura
  5. paletteArtes e Entretenimento
  6. paletteAssistência Médica
  7. diversity_3Assistência Social
  8. diversity_3Atendimento ao Cliente
  9. flight_takeoffAviação
  10. account_balanceBanca e Finanças
  11. spaBeleza e Bem-Estar
  12. shopping_bagBens de grande consumo (FMCG)
  13. restaurantCatering
  14. point_of_saleComercial e Vendas
  15. shopping_cartCompras
  16. constructionConstrução
  17. supervisor_accountConsultoria de Gestão
  18. person_searchConsultoria de Recrutamento
  19. person_searchContábil
  20. brushCriativo e Digital
  21. currency_bitcoinCriptomoedas e Blockchain
  22. child_friendlyCuidados Infantis
  23. shopping_cartE-commerce e Redes Sociais
  24. schoolEducação e Ensino
  25. boltEnergia
  26. medical_servicesEnfermagem
  27. foundationEngenharia Civil
  28. electrical_servicesEngenharia Eletrotécnica
  29. precision_manufacturingEngenharia Industrial
  30. buildEngenharia Mecânica
  31. scienceEngenharia Química
  32. biotechFarmacêutico
  33. gavelFunção Pública
  34. gavelGerenciamento
  35. gavelGerenciamento de Projetos
  36. gavelHotelaria e Turismo
  37. smart_toyIA e Tecnologias Emergentes
  38. home_workImobiliário
  39. handymanInstalação e Manutenção
  40. gavelJurídico
  41. gavelLazer e Esportes
  42. clean_handsLimpeza e Saneamento
  43. inventory_2Logística e Armazenamento
  44. inventory_2Manufatura e Produção
  45. campaignMarketing
  46. local_hospitalMedicina
  47. local_hospitalMídia e Relações Públicas
  48. constructionMineração
  49. medical_servicesOdontologia
  50. sciencePesquisa e Desenvolvimento
  51. local_gas_stationPetróleo e Gás
  52. emoji_eventsRecém-Formados
  53. groupsRecursos Humanos
  54. securitySegurança da Informação
  55. local_policeSegurança Pública
  56. policySeguros
  57. diversity_3Serviços Sociais
  58. directions_carSetor Automotivo
  59. wifiTelecomunicações
  60. psychologyTerapia
  61. codeTI e Software
  62. local_shippingTransporte
  63. local_shippingVarejo
  64. petsVeterinária
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