Full-Stack Developer (Python, AI) – Healthcare Project

Yangoos Technologies; Chennai; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

A technology firm in Chennai is looking for an experienced AI/ML Engineer to train and fine-tune large language models for healthcare applications. The ideal candidate will have 4 to 9 years of experience, especially in training LLMs, and a strong command of Python. Responsibilities include optimizing models and ensuring compliance with healthcare regulations. Interested candidates can apply by sending their resumes to [e-mail].

Qualifications

• 4 to 9 years of relevant experience in AI/ML engineering.
• Strong experience in training, fine-tuning, and deploying LLMs.
• Knowledge of HIPAA and SOC 2 compliance for healthcare applications.

Responsibilities

• Train and fine-tune LLMs for healthcare-related use cases.
• Implement AI-powered features ensuring compliance with healthcare data privacy regulations.
• Collaborate with cross-functional teams for end-to-end solution delivery.

Skills

Training and fine-tuning LLMs

Python (TensorFlow, PyTorch, Hugging Face, LangChain)

Data preprocessing

Prompt engineering

Model evaluation

Cloud platforms (AWS, Azure, GCP)

Job description

Overview

We are looking for an AI/ML Engineer with strong expertise in training and fine-tuning Large Language Models (LLMs). Healthcare domain experience is preferred, and full-stack development skills will be an added advantage. The ideal candidate will work on building secure, AI-powered healthcare solutions while ensuring compliance with HIPAA and SOC standards.

Key Requirements

• 4 to 9 years of relevant experience in AI/ML engineering
• Strong experience in training, fine-tuning, and deploying LLMs (e.g., GPT, LLaMA, Falcon, etc.)
• Proficiency in Python (TensorFlow, PyTorch, Hugging Face, LangChain)
• Experience with data preprocessing, prompt engineering, and model evaluation
• Preferred: Healthcare domain experience and familiarity with HL7/FHIR standards
• Knowledge of HIPAA and SOC 2 compliance for healthcare applications
• Experience with cloud platforms (AWS, Azure, GCP) for AI/ML deployments

Responsibilities

• Train and fine-tune LLMs for healthcare-related use cases
• Implement AI-powered features ensuring compliance with healthcare data privacy regulations
• Collaborate with cross-functional teams for end-to-end solution delivery
• Optimize models for accuracy, performance, and cost efficiency
• Deploy AI/ML solutions securely on cloud infrastructure
• Contribute to both backend and frontend development when needed

How to Apply

Send your resume highlighting LLM training/fine-tuning experience and any healthcare projects you’ve worked on to [e-mail]. Immediate Joining only preferred.

Seniority level

• Mid-Senior level

Employment type

• Full-time

Job function

• Engineering and Information Technology

Industries

• IT Services and IT Consulting