13.286 Empregos para Machine Learning - Brasil

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.

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 -

Direct message the job poster from Allen Recruitment

Our client, a leading provider of digital manufacturing solutions for interior spaces, is seeking a talented Machine Learning Engineer to join their team. This is an exciting opportunity to work at the forefront of AI and design automation, developing innovative tools that will revolutionize the interiors industry.

As a Machine Learning Engineer, you will be responsible for designing and training deep learning models to extract spatial and semantic information from 2D floorplans. Your work will involve developing pipelines to convert the detected geometry into structured 3D models, ready for integration with the client's CAD and backend systems. You will collaborate closely with the design automation and engineering teams to bring intelligent layout recognition to life, optimizing models for speed, accuracy, and real-world usability.

• Geometry-based Learning – Experience in geometry-based learning and spatial context understanding, with the ability to translate model output into geometric representations.
• CAD/BIM Integration – Knowledge of CAD/BIM environments, Rhino/Grasshopper, or geometry processing libraries (e.g., trimesh, Open3D) to integrate AI output with design and manufacturing workflows.
• Production Deployment – Proven track record of deploying machine learning models in real-world manufacturing or design environments, with a focus on optimizing for speed and accuracy.
• Expertise in Deep Learning Frameworks – Proven experience with deep learning frameworks such as PyTorch and TensorFlow, and a strong understanding of computer vision models like YOLO, UNet, and Detectron.
• Computer Vision and Image Processing – Solid background in computer vision and image processing, with the ability to analyze and extract spatial and semantic information from 2D images and vector data.

• OCR and Spatial Context – Experience in optical character recognition (OCR) with spatial context, to extract information from architectural drawings and documents.
• CAD/BIM Expertise – In-depth knowledge of CAD/BIM environments, Rhino/Grasshopper, or geometry processing libraries, to translate AI output into parametric geometry.
• Manufacturing Automation – Experience in the manufacturing or design automation industries, with an understanding of architectural drawing standards and conventions.
• Project Leadership – Demonstrated ability to lead machine learning projects from conception to production, with experience in team mentoring and collaboration.
• Shader Research – Knowledge of shader research and implementation for WebGL/ThreeJS, to enhance the visual fidelity of 3D outputs.

• Problem-Solving Skills – Ability to tackle complex problems and develop innovative solutions that bridge the gap between AI and real-world manufacturing.
• Collaboration and Communication – Strong interpersonal skills to work effectively with cross-functional teams, including designers, engineers, and product managers.
• Attention to Detail – Meticulous approach to model development and deployment, ensuring high-quality outputs that meet the client's requirements.
• Adaptability – Willingness to learn and adapt to new technologies, methodologies, and industry standards as the field of computer vision and design automation evolves.
• Passion for Innovation – Genuine enthusiasm for pushing the boundaries of what's possible in the interiors industry, with a drive to create transformative solutions.

• Bachelor's Degree – A bachelor's degree in Computer Science, Electrical Engineering, or a related technical field.
• Advanced Degree – A master's degree or a Ph.D. in a relevant discipline is highly desirable.

Job Ref: BBBH26059

Next Steps

If you possess the skills and experience required for this exciting Computer Vision Engineer role, we encourage you to submit your CV today. Our team of recruitment experts will review your application and be in touch to discuss the next steps in the process.

Interested in this Role? Submit your CV today!

Please don't hesitate to contact any of our team with any questions you may have on Email:

Mid-Senior level

Contract

Information Technology

Manufacturing, Software Development, and Architecture and Planning

Overview

Netvagas São Bernardo do Campo, São Paulo, Brazil. Nosso cliente é do segmento fabricação de pneus e está em busca de uma pessoa Machine Learning Engineer. Você fará parte de uma equipe ágil internacional que cria soluções de aprendizado de máquina (ML) para problemas industriais. Você estará em um ambiente multidisciplinar e de ritmo acelerado, onde tem a chance de gerenciar, melhorar e criar algoritmos e dados de ML. Na Pirelli, você aplicará técnicas de análise estatística e aprendizado de máquina a uma ampla gama de dados (de sensores a telemetria e manufatura) para apoiar as decisões nas unidades de negócios.

Você será responsável por implantar e gerenciar soluções de ML e arquitetura de dados de uma fábrica inteira, colaborando com a equipe de ciência de dados da sede e a população local para ajudar a aumentar o conhecimento e a eficiência da fábrica.

Quer saber mais? Abaixo seguem alguns detalhes sobre a vaga.

• Monitorar os processos e desempenhos de ML e seu impacto na fábrica
• Ajustar esses modelos e adaptá-los continuamente
• Explorar dados, monitorando e ajudando a aumentar sua qualidade
• Facilitar a comunicação entre a equipe da sede e os trabalhadores da fábrica

• Bons conhecimentos de modelos de aprendizado de máquina (ML)
• Experiência em implantação de modelos de ML e gerenciamento do ciclo de vida (MLOps)
• Conhecimento avançado de Python, TDD e OOP
• Experiência em visualização de dados
• Conhecimento avançado de SQL
• Experiência com GIT
• Experiência com bibliotecas científicas (pandas, scipy, numpy, jupyter), scikit-learn, statsmodels e pacotes relacionados de ML/estatísticas/ mineração de dados
• Conhecimento de CI/CD
• Experiência com Docker

• Experiência com deep learning
• Experiência em Apache Spark
• Experiência de trabalho com AWS
• Conhecimento do Kubernetes

• Capacidade de auto-organização
• Capacidade de se comunicar e colaborar com outros membros da equipe
• Pensamento crítico aguçado

• Modelo de contratação CLT
• Híbrido (3 dias presenciais por semana) OBS: Pode ser flexibilizado para menos dias

• Vale Alimentação
• Plano de Saúde
• Plano de Assistência Odontológica
• PPR
• Seguro de Vida
• Estacionamento

• Papo com a QiBit
• Papo com o Cliente
• Case
• Contratação
• As etapas podem sofrer alterações conforme andamento do processo; estaremos atualizando.

Acredita que este desafio é para você? Clique em candidatar-se para a vaga, já estamos te esperando!

#Changelives

Employment type:

B2B

Operating mode:

Remote

Location:

We help companies gain a competitive edge by delivering customized AI solutions. Our mission is to empower our clients to unlock the full potential of AI.

We are specialized in key technologies such as LLM & RAG, MLOps, Edge Solutions, Computer Vision, and Natural Language Processing.

Our team of 120 world-class AI experts has worked on 200+ commercial and R&D projects with companies such as Unstructured, Google, Brainly, DocPlanner, B-Yond, Zebra Technologies, Hexagon, and many more.

• Team Strength – sharing and exchanging knowledge is key to our daily work
• Accountability – we take responsibility for the tasks entrusted to us so that ultimately the client receives the best possible quality
• Balance – we value work-life balance
• Commitment – we want you to be fully part of the team
• Openness – we don’t want you to be locked into one solution, we want to look for alternatives, explore new possibilities

Join our dynamic team as a Machine Learning Engineer and embark on a journey of innovation at the intersection of data science and cloud computing. We are seeking a talented individual who is passionate about leveraging cutting-edge technologies to drive business insights and solutions. If you’re excited about pushing the boundaries of what’s possible with GenAI, we invite you to be part of our team of experts!

• Collaborate with data scientists and software engineers to integrate machine learning solutions into cloud-based applications.
• Continuously optimize and improve AI algorithms for performance and accuracy in a cloud environment.
• Automate and optimize model deployment following MLOps best practices.
• Engage in the development of cutting-edge Kubernetes-driven infrastructure.
• Work on system reliability and backend stability, always looking for details to be improved.
• Share knowledge through talks and workshops (internal and external).

• Bachelor’s or advanced degree in Computer Science or Engineering.
• Proven experience (3+ years) in software engineering, including experience with Python, Bash, Git, as well as Cloud services, and Linux.
• Proven experience (1+ years) in working with cloud (AWS/Azure preferred).
• Good understanding of system architecture (microservices, monoliths, REST API, DNS, caching).
• Familiarity with Docker, Kubernetes, and cloud platforms for ML deployment.
• Strong Python skills and familiarity with other object-oriented languages.
• Very effective communication skills, both written and verbal.
• Ability to solve problems and communicate complex ideas effectively.

• Basic understanding of machine learning algorithms.
• Keen interest for Generative AI and Large Language Models (LLMs).
• Previous startup experience.

• Opportunity to work on cutting-edge AI projects with a diverse range of clients and industries, driving solutions from development to production.
• Collaborative and supportive work environment, where you can grow and learn from a team of talented professionals.
• An opportunity to participate in conferences and workshops.
• An opportunity to participate in Tech Talks (internal training and seminar sessions).
• Remote work options and travel to European headquarters available.

• Medical package.
• Multisport cards.
• Lunch provided.
• Kitchens stocked with fruit and veggies twice a week.
• Monthly integration budget.
• Company library (online and offline).
• Fun room.

Prazer, somos a Huna!
- Deeptech brasileira construindo o futuro do diagnóstico precoce de câncer para 99% da humanidade usando inteligência artificial e exames de rotina!
:) Construímos tecnologias robustas, éticas e responsáveis para ampliar o acesso à saúde… e que bom que você quer fazer parte dessa trajetória com a gente!
:) Estamos contratando para vaga de PESSOA ENGENHEIRA DE MACHINE LEARNING (MLOps) (Pleno) - até dia 21 de Março!
Esta é uma vaga full-time e remote-first , com preferência para candidatos baseados em São Paulo (Capital e RM) e Rio de Janeiro.
É importante ter disponibilidade para viagens ocasionais (e alguns eventos nas sedes da empresa em ambas cidades).

1. Pesquisar e implementar algoritmos e ferramentas de Machine Learning apropriados para resolver problemas específicos na área da saúde, como diagnóstico auxiliado por IA, previsão de riscos, personalização de tratamentos e análise de imagens médicas;
2. Desenvolver aplicações de Machine Learning de acordo com os requisitos, utilizando linguagens de programação como Python e bibliotecas como TensorFlow, PyTorch e Scikit-learn;
3. Estudar e transformar protótipos de ciência de dados em soluções escaláveis e robustas;
4. Ampliar bibliotecas e estruturas de ML existentes para atender às necessidades específicas das aplicações;
5. Selecionar conjuntos de dados apropriados para treinar os modelos de Machine Learning, realizando a limpeza, a transformação e a preparação dos dados;
6. Escolher métodos de representação de dados eficazes para otimizar o desempenho dos modelos;
7. Realizar análises estatísticas e ajustes finos nos modelos, utilizando resultados de testes para melhorar a acurácia e a eficiência;
8. Treinar e retreinar os sistemas de Machine Learning quando necessário, utilizando técnicas de aprendizado supervisionado, não supervisionado e por reforço;
9. Otimizar os modelos para garantir o desempenho, a escalabilidade e a eficiência em ambientes de produção.

1. Formação em Ciência da Computação, Engenharia, Estatística ou áreas correlatas.
2. Experiência mínima de 2 (dois) anos na função.
3. Experiência com linguagens de programação como Python e bibliotecas de Machine Learning como TensorFlow, PyTorch e Scikit-learn.
4. Inglês avançado.
5. Conhecimento de algoritmos de Machine Learning, como regressão, classificação, clustering e deep learning.
6. Habilidade em processar e analisar grandes conjuntos de dados.
7. Familiaridade com ferramentas de controle de versão, como Git.
8. Disponibilidade para viagens eventuais.

1. Pós-Graduação (Mestrado ou Doutorado - completa ou em andamento) em áreas correlatas.
2. Conhecimento de processamento de linguagem natural (PNL) ou visão computacional.
3. Familiaridade com plataformas de cloud computing, especialmente GCP, AWS ou Azure.
4. Experiência prévia (acadêmica ou profissional) com manipulação de dados clínicos/médicos e/ou vivência no setor de saúde.

1. Remuneração compatível com o mercado.
2. Benefício flexível (Caju).
3. Benefício de saúde (Gympass).
4. Benefício de educação.
5. Possibilidade de participar de programa de S.O.P.
6. Rotina remote-first (remoto preferencial).
7. Short-Fridays.
8. Flexibilidade de horários na rotina.
9. Day-off de aniversário.
10. Emendas de feriados nacionais.

> Se você acha que essa vaga é a sua cara, inscreva-se na vaga diretamente pelo ou por email ***.
> Se conhece alguém que se encaixa no perfil, compartilhe!
LEMBRETE: O prazo vai até dia 21 de Março.
Somente candidatos selecionados receberão feedback para as próximas etapas.
:)

Employment type:

B2B

Operating mode:

Remote

Location:

We help companies gain a competitive edge by delivering customized AI solutions. Our mission is to empower our clients to unlock the full potential of AI.

We are specialized in key technologies such as LLM & RAG, MLOps, Edge Solutions, Computer Vision, and Natural Language Processing.

Our team of 120 world-class AI experts has worked on 200+ commercial and R&D projects with companies such as Unstructured, Google, Brainly, DocPlanner, B-Yond, Zebra Technologies, Hexagon, and many more.

• Team Strength – sharing and exchanging knowledge is key to our daily work
• Accountability – we take responsibility for the tasks entrusted to us so that ultimately the client receives the best possible quality
• Balance – we value work-life balance
• Commitment – we want you to be fully part of the team
• Openness – we don’t want you to be locked into one solution, we want to look for alternatives, explore new possibilities

Join our dynamic team as a Machine Learning Engineer and embark on a journey of innovation at the intersection of data science and cloud computing. We are seeking a talented individual who is passionate about leveraging cutting-edge technologies to drive business insights and solutions. If you’re excited about pushing the boundaries of what’s possible with GenAI, we invite you to be part of our team of experts!

• Collaborate with data scientists and software engineers to integrate machine learning solutions into cloud-based applications.
• Continuously optimize and improve AI algorithms for performance and accuracy in a cloud environment.
• Automate and optimize model deployment following MLOps best practices.
• Engage in the development of cutting-edge Kubernetes-driven infrastructure.
• Work on system reliability and backend stability, always looking for details to be improved.
• Share knowledge through talks and workshops (internal and external).

• Bachelor’s or advanced degree in Computer Science or Engineering.
• Proven experience (3+ years) in software engineering, including experience with Python, Bash, Git, as well as Cloud services, and Linux.
• Proven experience (1+ years) in working with cloud (AWS/Azure preferred).
• Good understanding of system architecture (microservices, monoliths, REST API, DNS, caching).
• Familiarity with Docker, Kubernetes, and cloud platforms for ML deployment.
• Strong Python skills and familiarity with other object-oriented languages.
• Very effective communication skills, both written and verbal.
• Ability to solve problems and communicate complex ideas effectively.

• Basic understanding of machine learning algorithms.
• Keen interest for Generative AI and Large Language Models (LLMs).
• Previous startup experience.

• Opportunity to work on cutting-edge AI projects with a diverse range of clients and industries, driving solutions from development to production.
• Collaborative and supportive work environment, where you can grow and learn from a team of talented professionals.
• An opportunity to participate in conferences and workshops.
• An opportunity to participate in Tech Talks (internal training and seminar sessions).
• Remote work options and travel to European headquarters available.

• Medical package.
• Multisport cards.
• Lunch provided.
• Kitchens stocked with fruit and veggies twice a week.
• Monthly integration budget.
• Company library (online and offline).
• Fun room.

Prazer, somos a Huna!
- Deeptech brasileira construindo o futuro do diagnóstico precoce de câncer para 99% da humanidade usando inteligência artificial e exames de rotina!
:) Construímos tecnologias robustas, éticas e responsáveis para ampliar o acesso à saúde… e que bom que você quer fazer parte dessa trajetória com a gente!
:) Estamos contratando para vaga de PESSOA ENGENHEIRA DE MACHINE LEARNING (MLOps) (Pleno) - até dia 21 de Março!
Esta é uma vaga full-time e remote-first , com preferência para candidatos baseados em São Paulo (Capital e RM) e Rio de Janeiro.
É importante ter disponibilidade para viagens ocasionais (e alguns eventos nas sedes da empresa em ambas cidades).

1. Pesquisar e implementar algoritmos e ferramentas de Machine Learning apropriados para resolver problemas específicos na área da saúde, como diagnóstico auxiliado por IA, previsão de riscos, personalização de tratamentos e análise de imagens médicas;
2. Desenvolver aplicações de Machine Learning de acordo com os requisitos, utilizando linguagens de programação como Python e bibliotecas como TensorFlow, PyTorch e Scikit-learn;
3. Estudar e transformar protótipos de ciência de dados em soluções escaláveis e robustas;
4. Ampliar bibliotecas e estruturas de ML existentes para atender às necessidades específicas das aplicações;
5. Selecionar conjuntos de dados apropriados para treinar os modelos de Machine Learning, realizando a limpeza, a transformação e a preparação dos dados;
6. Escolher métodos de representação de dados eficazes para otimizar o desempenho dos modelos;
7. Realizar análises estatísticas e ajustes finos nos modelos, utilizando resultados de testes para melhorar a acurácia e a eficiência;
8. Treinar e retreinar os sistemas de Machine Learning quando necessário, utilizando técnicas de aprendizado supervisionado, não supervisionado e por reforço;
9. Otimizar os modelos para garantir o desempenho, a escalabilidade e a eficiência em ambientes de produção.

1. Formação em Ciência da Computação, Engenharia, Estatística ou áreas correlatas.
2. Experiência mínima de 2 (dois) anos na função.
3. Experiência com linguagens de programação como Python e bibliotecas de Machine Learning como TensorFlow, PyTorch e Scikit-learn.
4. Inglês avançado.
5. Conhecimento de algoritmos de Machine Learning, como regressão, classificação, clustering e deep learning.
6. Habilidade em processar e analisar grandes conjuntos de dados.
7. Familiaridade com ferramentas de controle de versão, como Git.
8. Disponibilidade para viagens eventuais.

1. Pós-Graduação (Mestrado ou Doutorado - completa ou em andamento) em áreas correlatas.
2. Conhecimento de processamento de linguagem natural (PNL) ou visão computacional.
3. Familiaridade com plataformas de cloud computing, especialmente GCP, AWS ou Azure.
4. Experiência prévia (acadêmica ou profissional) com manipulação de dados clínicos/médicos e/ou vivência no setor de saúde.

1. Remuneração compatível com o mercado.
2. Benefício flexível (Caju).
3. Benefício de saúde (Gympass).
4. Benefício de educação.
5. Possibilidade de participar de programa de S.O.P.
6. Rotina remote-first (remoto preferencial).
7. Short-Fridays.
8. Flexibilidade de horários na rotina.
9. Day-off de aniversário.
10. Emendas de feriados nacionais.

> Se você acha que essa vaga é a sua cara, inscreva-se na vaga diretamente pelo ou por email ***.
> Se conhece alguém que se encaixa no perfil, compartilhe!
LEMBRETE: O prazo vai até dia 21 de Março.
Somente candidatos selecionados receberão feedback para as próximas etapas.
:)

Employment type:

B2B

Operating mode:

Remote

Location:

We help companies gain a competitive edge by delivering customized AI solutions. Our mission is to empower our clients to unlock the full potential of AI.

We are specialized in key technologies such as LLM & RAG, MLOps, Edge Solutions, Computer Vision, and Natural Language Processing.

Our team of 120 world-class AI experts has worked on 200+ commercial and R&D projects with companies such as Unstructured, Google, Brainly, DocPlanner, B-Yond, Zebra Technologies, Hexagon, and many more.

• Team Strength – sharing and exchanging knowledge is key to our daily work
• Accountability – we take responsibility for the tasks entrusted to us so that ultimately the client receives the best possible quality
• Balance – we value work-life balance
• Commitment – we want you to be fully part of the team
• Openness – we don’t want you to be locked into one solution, we want to look for alternatives, explore new possibilities

Join our dynamic team as a Machine Learning Engineer and embark on a journey of innovation at the intersection of data science and cloud computing. We are seeking a talented individual who is passionate about leveraging cutting-edge technologies to drive business insights and solutions. If you’re excited about pushing the boundaries of what’s possible with GenAI, we invite you to be part of our team of experts!

• Collaborate with data scientists and software engineers to integrate machine learning solutions into cloud-based applications.
• Continuously optimize and improve AI algorithms for performance and accuracy in a cloud environment.
• Automate and optimize model deployment following MLOps best practices.
• Engage in the development of cutting-edge Kubernetes-driven infrastructure.
• Work on system reliability and backend stability, always looking for details to be improved.
• Share knowledge through talks and workshops (internal and external).

• Bachelor’s or advanced degree in Computer Science or Engineering.
• Proven experience (3+ years) in software engineering, including experience with Python, Bash, Git, as well as Cloud services, and Linux.
• Proven experience (1+ years) in working with cloud (AWS/Azure preferred).
• Good understanding of system architecture (microservices, monoliths, REST API, DNS, caching).
• Familiarity with Docker, Kubernetes, and cloud platforms for ML deployment.
• Strong Python skills and familiarity with other object-oriented languages.
• Very effective communication skills, both written and verbal.
• Ability to solve problems and communicate complex ideas effectively.

• Basic understanding of machine learning algorithms.
• Keen interest for Generative AI and Large Language Models (LLMs).
• Previous startup experience.

• Opportunity to work on cutting-edge AI projects with a diverse range of clients and industries, driving solutions from development to production.
• Collaborative and supportive work environment, where you can grow and learn from a team of talented professionals.
• An opportunity to participate in conferences and workshops.
• An opportunity to participate in Tech Talks (internal training and seminar sessions).
• Remote work options and travel to European headquarters available.

• Medical package.
• Multisport cards.
• Lunch provided.
• Kitchens stocked with fruit and veggies twice a week.
• Monthly integration budget.
• Company library (online and offline).
• Fun room.