Machine Learning Engineer (senior/lead) Id32754 Para Rio De Janeiro

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Machine Learning Engineer (Senior/Lead) ID32754 – Rio de Janeiro

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Posted On 03/13/2025

Job Information

City: Rio de Janeiro

State/Province: Rio de Janeiro

Postal Code: 20000-000

Industry: IT Services

Job Description

AgileEngine is one of the Inc. 5000 fastest-growing companies in the U.S. and a top-3 ranked dev shop according to Clutch. We create award-winning custom software solutions that help companies across 15+ industries change the lives of millions.

If you like a challenging environment where you’re working with the best and are encouraged to learn and experiment every day, there’s no better place - guaranteed! 🙂

What You Will Do

1. Ingest, structure, and analyze a wide range of unstructured data sources;
2. Design, maintain, and orchestrate data pipelines in an AWS environment for production processing and training flows;
3. Continuously evaluate, analyze, test, and improve the quality, privacy, and performance of our data systems;
4. Contribute across the product, from front-end UX and product design to API/systems architecture and ML processing/training.

Must Haves

1. 5+ years of experience ingesting, analyzing, and structuring a wide variety of data sources;
2. Significant experience building and maintaining data pipelines in a production environment;
3. Strong experience with databases/SQL, Python, and Pandas (or equivalent);
4. Prior experience working in fast-paced environments and tackling problems across the stack with quick iterations while maintaining a high-quality bar;

Nice to Haves

1. Experience within the healthcare domain is a plus;
2. Extensive production experience with AWS, containers, and/or data orchestration;
3. Full-stack development experience (JS/TS/Node in particular);
4. Demonstrated experience in similar roles in a startup or consultancy.

The Benefits of Joining Us

1. Professional growth: Accelerate your professional journey with mentorship, TechTalks, and personalized growth roadmaps.
2. Competitive compensation: We match your ever-growing skills, talent, and contributions with competitive USD-based compensation and budgets for education, fitness, and team activities.
3. A selection of exciting projects: Join projects with modern solutions development and top-tier clients that include Fortune 500 enterprises and leading product brands.
4. Flextime: Tailor your schedule for an optimal work-life balance, by having the options of working from home and going to the office – whatever makes you the happiest and most productive.

Next Steps After You Apply

The next steps of your journey will be shared via email within a few hours. Please check your inbox regularly and watch for updates from our Internal Applicant site, LaunchPod, which will guide you through the process.

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