What are the responsibilities and job description for the Machine Learning Engineer (Middle) ID34502 position at AgileEngine?
AgileEngine is one of the Inc. 5000 fastest-growing companies in the U 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
- Ingest, structure, and analyze a wide range of unstructured data sources;
- Design, maintain, and orchestrate data pipelines in an AWS environment for both production processing and training flows;
- Continuously evaluate, 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 HAVE
- 3 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;
- Hands-on experience with LLM fine-tuning;
- Familiarity with LLM architectures;
- Experience in AI/LLM optimization using open frameworks;
- Upper-Intermediate English level.
NICE TO HAVES
- Experience in the healthcare domain is a plus;
- Extensive production experience with AWS, containers, and/or data orchestration tools;
- MLE experience (e.g., PyTorch, scikit-learn, etc.);
- Full-stack development experience (especially with JS/TS/Node);
- Proven experience in similar roles at startups or consultancies.
- Professional growth
Accelerate your professional journey with mentorship, TechTalks, and personalized growth roadmaps.
- Competitive compensation
We match your ever-growing skills, talent, and contributions with competitive USD-based compensation and budgets for education, fitness, and team activities.
- A selection of exciting projects
Join projects with modern solutions development and top-tier clients that include Fortune 500 enterprises and leading product brands.
- 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.
Applicants must be authorized to work for ANY employer in the US (i.e. Green card holders, TN visa holders, GC EAD, H4 EAD, U4U with EAD). We are unable to sponsor or take over sponsorship of an employment Visa at this time.
