42 Empregos para Engenharia De Machine Learning - Brasil

AI Engineer

Highlights

Build machine learning and AI-powered applications

Flexible remote or hybrid environment

Work on cutting-edge, data-driven challenges

Role Summary

We are seeking an AI Engineer to design, develop, and deploy artificial intelligence models across a variety of applications. This role sits at the intersection of machine learning, software engineering, and scalable product development.

Key Responsibilities

• Build and train machine learning models for real-world use cases

• Collaborate with data scientists to optimize algorithms

• Integrate models into large-scale software systems

• Monitor and maintain model performance in production

• Research and implement emerging AI/ML techniques

Requirements

• Proficiency in Python and frameworks such as TensorFlow or PyTorch

• Strong foundation in mathematics, statistics, or computer science

• Experience with ML Ops and deploying models to production

• Familiarity with cloud AI platforms (AWS Sagemaker, GCP Vertex, Azure ML)

• Strong problem-solving and communication skills

Why Join Us

AI is transforming every industry, and here you’ll be at the center of it. You’ll have the opportunity to shape products with intelligence, creativity, and innovation.

About Us

We are a forward-thinking software company driving the next generation of intelligent applications. Our teams thrive on collaboration, impact, and innovation.

Location: San Francisco, CA - Remote (LATAM preferred)

Work Type: Full-Time

We’re partnering with a confidential, high-growth technology company in Silicon Valley that’s building AI-powered platforms. This team moves fast, cares about craftsmanship, and empowers engineers to own meaningful work for the long term.

This is a full-time, remote opportunity to join a global-first product team tackling complex problems with modern tech and a culture that values quality and speed.

What You’ll Do

- Design, build, and maintain features across the stack.

- Collaborate closely with product, design, and engineering peers to ship high-quality work.

- Write clean, well-tested, well-documented code.

- Contribute to architecture decisions, technical planning, and code reviews.

- Help shape team workflows, best practices, and developer experience.

What You Bring

- 5+ years of professional experience in software development as a Full Stack Developer.

- 2+ years of professional experience as an AI/ML Engineer.

- Proficiency with Python, React, Express, MongoDB, Node or equivalent .

- Strong understanding of APIs, performance, scalability, etc.

- Clear, proactive communication and comfort working on distributed, async teams.

- A product mindset and strong sense of ownership.

- Startup or high-growth team background

- Proficiency in English

- Passion for building scalable systems and great user experiences.

What You’ll Get

- Competitive compensation in USD.

- 100% remote with flexible hours.

- Long-term, product-focused work with clear ownership.

- A smart, collaborative, globally distributed team.

If you’re excited to work with a fast-moving team building the future of AI at scale — let’s connect.

Location: San Francisco, CA - Remote (LATAM preferred)

Work Type: Full-Time

We’re partnering with a confidential, high-growth technology company in Silicon Valley that’s building AI-powered platforms. This team moves fast, cares about craftsmanship, and empowers engineers to own meaningful work for the long term.

This is a full-time, remote opportunity to join a global-first product team tackling complex problems with modern tech and a culture that values quality and speed.

What You’ll Do

- Design, build, and maintain features across the stack.

- Collaborate closely with product, design, and engineering peers to ship high-quality work.

- Write clean, well-tested, well-documented code.

- Contribute to architecture decisions, technical planning, and code reviews.

- Help shape team workflows, best practices, and developer experience.

What You Bring

- 5+ years of professional experience in software development as a Full Stack Developer.

- 2+ years of professional experience as an AI/ML Engineer.

- Proficiency with Python, React, Express, MongoDB, Node or equivalent .

- Strong understanding of APIs, performance, scalability, etc.

- Clear, proactive communication and comfort working on distributed, async teams.

- A product mindset and strong sense of ownership.

- Startup or high-growth team background

- Proficiency in English

- Passion for building scalable systems and great user experiences.

What You’ll Get

- Competitive compensation in USD.

- 100% remote with flexible hours.

- Long-term, product-focused work with clear ownership.

- A smart, collaborative, globally distributed team.

If you’re excited to work with a fast-moving team building the future of AI at scale — let’s connect.

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.

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.

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.