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DIRECT HIRE - Machine Learning Engineer (Middle/Senior) ID34502

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AgileEngine AgileEngine is an Inc. 5000 company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries. We rank among the leaders in areas like application development and AI/ML, and our people-first culture has earned us multiple Best Place to Work awards.

If you're looking for a place to grow, make an impact, and work with people who care, we'd love to meet you! :)

AgileEngine is an Inc. 5000 company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries. We rank among the leaders in areas like application development and AI/ML, and our people-first culture has earned us multiple Best Place to Work awards.

If you're looking for a place to grow, make an impact, and work with people who care, we'd love to meet you! :)

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.

THE BENEFITS OF JOINING TROVO HEALTH - Direct impact on the company and culture; - Option of a Hybrid work environment (HQ in Union Square, NYC); - Competitive Salary and Equity; - Generous Health, Vision, and Dental Insurance; - Flexible paid time off (unlimited vacation and sick leave); - Flexible schedules; - Life Insurance; - Short & Long-Term Disability; - Parental Leave. 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.

Seniority level

Seniority level Mid-Senior level Employment type

Employment type Full-time Job function

Job function Information Technology Industries IT Services and IT Consulting Referrals increase your chances of interviewing at AgileEngine by 2x Sign in to set job alerts for “Machine Learning Engineer” roles.

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