Senior AI Engineer (US IT Healthcare)

iSoft Globl; Chennai; On-site; INR 2,500,000 - 4,000,000; Full time

Job summary

iSoft Globl in Chennai seeks a Senior AI Engineer with 5+ years of hands-on ML/DL experience to design and deploy production-ready AI solutions. The role includes building scalable ML pipelines and APIs, ensuring robust model evaluation, and collaborating with cross-functional teams.

You will work on advanced ML architectures, RAG vectors, embeddings, and guardrails, while mentoring peers and delivering production-grade code and services.

Qualifications

• Minimum 5+ years of hands-on experience in ML/DL
• Strong experience in MLOps and deploying models to production
• Proficient in designing ML solutions and problem solving

Responsibilities

• Develop production-grade ML models and pipelines
• Architect scalable ML solutions and APIs
• Lead ML problem solving with data-driven approaches
• Evaluate models with robust metrics and guardrails
• Work with data teams on feature stores and data versioning
• Implement fast, reliable microservices (FastAPI, Flask) for inference
• Optimize model performance for latency and throughput
• Mentor teammates on best practices and code quality

Skills

Advanced ML/DL Modeling

MLOps & Production Deployment

Solution Architecture & ML Problem Sol

Tools

TensorFlow

PyTorch

FastAPI

Flask

Job description

The client is looking at hiring a Senior AI Engineer for their team at Chennai.

Minimum Experience : 5+ Years

Mandatory Skills:

• Advanced ML/DL Modeling (TensorFlow/PyTorch)
• MLOps & Production Deployment
• Solution Architecture & ML Problem Solving

Preferred Skills:

• Technical Mentorship & Cross-functional Leadership

Role Summary :

• Advanced Python (production-grade, optimized code)
• Data structures & algorithms
• APIs & microservices (FastAPI, Flask)
• Deep understanding of ML algorithms & trade-offs
• Advanced model evaluation & error analysis
• Advanced SQL, Feature stores & data versioning
• Deep learning architectures (CNNs, RNNs, Transformers)
• Advanced RAG architectures & vector databases
• Embeddings & semantic search
• LLM evaluation & guardrails