Experience: 4 to 9 years Location: Chennai WFO Employment Type: Full-time Immediate Joining Required About the Role: 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 Bonus: Full-stack development skills (React/Angular + Python/Django/Flask) 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 hr@yangoos.com. Immediate Joining only preffered.