AI-ML Engineer

Full Description

Job Description:

Job Summary:

The Principal AI Engineer leads the design, development, and deployment of a scalable AI platform. This role focuses on MLOps, standardization of ML practices, GPU and cloud infrastructure setup, and robust data integration. The engineer collaborates across teams and mentors junior engineers to ensure high-quality AI solutions.

Key Responsibilities:

The go-to pers

on for any issues, platform or product, promoting a model, end to end solutioning. Coordinate AIOPs and AI Engineering and all AI teams, end to end architecture knowledge. ML platform AI knowledge.

Total Experience : 5-8 Years

Required Technical Skill Set - TensorFlow, PyTorch, MLow, Kubeow, GPU computing, Python, Golang

Good to have Technical Skill Set - AI Cloud Platform, LLMOps framework

Technical Competencies:

• AI platform development (Expert)

• ML frameworks and MLOps (Expert)

• GPU optimization (Expert)

• Data integration pipelines (Advanced)

• Programming (Advanced)

Primary Focus - Leading AI platform design and standardization

Technical Skills: Data bricks platform knowledge, Lakehouse in Data bricks and Data bricks

Mosaic framework is a must have.

• TensorFlow, PyTorch

• MLow, Kubeow

• AWS, Azure

• Python, Java, C

• Data engineering & integration

• GPU optimization