Machine Learning Engineer (Senior/Lead) ID32754

• What you will do

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

• Must haves

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

• Nice to haves

• Experience within the healthcare domain is a plus;
• Extensive production experience with AWS, containers, and/or data orchestration;
• MLE Experience – PyTorch, scikit-learn, etc.;
• Full-stack development experience (JS/TS/Node in particular);
• Demonstrated experience in similar roles in a startup or consultancy.

AgileEngine is one of the Inc. 5000 fastest-growing companies in the US 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! 🙂