Urgent! Machine Learning Engineer Position in Brasil - Flatiron Software
About Flatiron is a global remote software development company with engineers located around the world.
We unite experts from diverse backgrounds and experiences in a collaborative culture to deliver exceptional products and services for our clients.
As a forward-thinking software engineering company, we provide industry-leading solutions to complex problems in both the US and the UK.
Operating in a fast-paced, agile environment, we specialize in software consulting for our clients.
We offer a stimulating and rewarding environment for our team members.
We value innovation, continuous learning, and professional growth, and we strive to create a workplace where everyone can thrive.
Join us at Flatiron and be a part of a team that is shaping the future of software development.
Job Summary This is a full-time fully remote working opportunity where you will be working as part of a Scrum team which requires working closely with other software engineers, stakeholders and contributors on the project.
Working with respect to the US timezone is a requirement for the position.
Attending meetings, being actively involved in the decision making process and collaborating with all of these stakeholders are essential parts of this position.
Key Responsibilities Design, develop, and deploy scalable, production-ready machine learning systems and end-to-end pipelines on AWS.
Partner with data scientists, software engineers, and product teams to define requirements, select algorithms, and deliver impactful ML solutions.
Architect, optimize, and maintain ML infrastructure — including data ingestion, model training, deployment, serving, monitoring, and lifecycle management — using AWS services.
Lead the data preparation and feature engineering process, ensuring data quality, integrity, and scalability across large datasets.
Implement and optimize ML models (supervised, unsupervised, deep learning, NLP, recommendation systems) with a focus on performance, accuracy, and reliability.
Build and manage robust data pipelines and orchestration workflows to support ML systems at scale.
Integrate models into backend services and APIs, ensuring seamless interaction with applications and end users.
Contribute to MLOps practices, including CI/CD for ML, model registries, experiment tracking, automated retraining, and infrastructure-as-code provisioning.
Utilize Infrastructure-as-Code tools such as Terraform, AWS CDK, or CloudFormation to build and maintain scalable, secure ML infrastructure.
Stay ahead of emerging trends in AI/ML, evaluating new research, frameworks, and tools to enhance product capabilities.
Provide technical leadership and mentorship to junior engineers, guiding best practices throughout the ML lifecycle.
Minimum Qualifications Advanced written and oral English proficiency.
Bachelor’s or Master’s degree in Computer Science, Machine Learning, Data Science, or a related field.
7 years of professional experience designing, building, and deploying machine learning models in production environments.
Strong hands-on experience with AWS for ML workflows (data pipelines, model training, deployment, and monitoring).
Expert proficiency in Python and ML frameworks such as TensorFlow, PyTorch, and scikit-learn.
Proficiency with TypeScript for building ML-integrated backend services and automation workflows.
Experience with Infrastructure-as-Code tools ( Terraform, AWS CDK, or CloudFormation ) for deploying ML infrastructure.
Strong knowledge of data processing and analysis tools (Pandas, NumPy, SQL) and orchestration workflows.
Proven track record deploying ML systems into production and integrating them into real products or services at scale.
Experience with containerization (Docker), orchestration (Kubernetes), and MLOps best practices.
Preferred Qualifications Experience with large language models (LLMs), retrieval-augmented generation (RAG) pipelines, or agentic AI systems.
Expertise in deep learning, NLP, time-series forecasting, or computer vision.
Familiarity with platforms such as MLflow, Kubeflow, or Amazon SageMaker for model lifecycle management.
Contributions to open-source AI/ML projects or publications in the field.
Understanding of data engineering workflows, ETL pipelines, and real-time data processing Benefits Yearly Office Allowance Budget Macbook Purchase Support Wellbeing Support If you are a good fit for the position, please apply through LinkedIn. We only accept CVs that are in English.
Flatiron has a zero tolerance to discrimination policy.
In this regard, during the course of the evaluation of your job application and all your employment relation, if any, all discriminatory factors such as race, sex, sexual orientation, social gender definitions/roles, color, national or social background, ethnicity, religion, age, disablement, political opinion or any status that is protected under law shall be disregarded.
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Unlock Your Machine Learning Potential: Insight & Career Growth Guide
Real-time Machine Learning Jobs Trends in Brasil, Brazil (Graphical Representation)
Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph below. This graph displays the job market trends for Machine Learning in Brasil, Brazil using a bar chart to represent the number of jobs available and a trend line to illustrate the trend over time. Specifically, the graph shows 375 jobs in Brazil and 245 jobs in Brasil. This comprehensive analysis highlights market share and opportunities for professionals in Machine Learning roles. These dynamic trends provide a better understanding of the job market landscape in these regions.
Great news! Flatiron Software is currently hiring and seeking a Machine Learning Engineer to join their team. Feel free to download the job details.
Wait no longer! Are you also interested in exploring similar jobs? Search now: Machine Learning Engineer Jobs Brasil.
An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at Flatiron Software adheres to the cultural norms as outlined by Expertini.
The fundamental ethical values are:The average salary range for a Machine Learning Engineer Jobs Brazil varies, but the pay scale is rated "Standard" in Brasil. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.
Key qualifications for Machine Learning Engineer typically include Other General and a list of qualifications and expertise as mentioned in the job specification. Be sure to check the specific job listing for detailed requirements and qualifications.
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Here are some tips to help you prepare for and ace your job interview:
Before the Interview:To prepare for your Machine Learning Engineer interview at Flatiron Software, research the company, understand the job requirements, and practice common interview questions.
Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the Flatiron Software's products or services and be prepared to discuss how you can contribute to their success.
By following these tips, you can increase your chances of making a positive impression and landing the job!
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