Position Details
About this role
The Machine Learning Engineer will architect and deliver AI/ML solutions for AWS ProServe customers, applying GenAI techniques to solve real-world problems, training and fine-tuning models, and guiding customers through AI transformations.
Key Responsibilities
- Design/implement AI/ML solutions for customers; train and fine-tune models; collaborate with stakeholders to define use cases; provide guidance on AI responsibly and cost-effectively; mentor and create reusable AI artifacts
Technical Overview
Hands-on ML/AI with Python and SQL/NoSQL; experience with LLMs and GenAI frameworks; API development for deployment; security-conscious and SDLC-aware; customer-facing delivery
Ideal Candidate
The ideal candidate is a mid-level ML Engineer with 2+ years of ML experience and 1+ year evaluating AI systems, capable of designing and deploying secure, scalable AI/GenAI solutions for AWS ProServe customers, with strong Python/SQL skills and API experience.
Must-Have Skills
Nice-to-Have Skills
Tools & Platforms
Required Skills
Hard Skills
Soft Skills
Industry & Role
Keywords for Your Resume
Deal Breakers
Lack of Bachelor’s degree in STEM, No 2+ years data querying (SQL), No 3+ years ML/statistical modeling, No experience with AI systems
Get matched to jobs like this
Luna finds roles that fit your skills and career goals — no endless scrolling required.
Create a Free Profile