Experience:

• 12 plus years of experience in AI/ML engineering
• Experience developing and deploying AI solutions
• Experience with machine learning, deep learning, Gen AI (multi modal LLMs), NLP, and computer vision
• Experience developing, deploying and finetuning LLMs (GPT, Gemini, Claude or similar)
• Experience with cloud platforms (AWS, Azure, or GCP) and MLOps
• Proficiency in big data technologies (Spark, Hadoop, SQL, NoSQL databases)

Qualification:

• Bachelor or Master’s or higher in Computer Science
• Bachelor or Master’s or higher in AI
• Bachelor or Master’s or higher in Data Science
• Bachelor or Master’s or higher in Engineering
• Bachelor or Master’s or higher in related field

Responsibilities:

• Design, build, and train machine learning, deep learning, time series models, Gen AI, predictive analytics, NLP, and image processing solutions
• Build GEN AI solutions using RAG architecture
• Develop, test, and deploy AI solutions in cloud and on-premises environments
• Work with large healthcare datasets performing data preprocessing, feature engineering, and model training
• Implement and optimize AI models within existing technology stack
• Collaborate with software engineers for seamless integration
• Evaluate models and continuously monitor performance of ML/DL and LLMs
• Apply security measures and implement guard rails in GEN AI solutions
• Continuously monitor, refine, and optimize AI/GEN AI models for accuracy, efficiency, and speed
• Stay updated with latest AI/ML/GEN AI advancements and explore new technologies
• Ensure AI implementations adhere to healthcare regulations, ethical AI principles, and data privacy standards
• Identify opportunities to automate workflows and optimize business processes using AI
• Front end development using Streamlit
• Lead team and interface with other team leads to translate business requirements into feasible solutions

Additional responsibilities:

• Ensure compliance with HIPAA and other regulatory standards
• Work limited to application development without access to PHI, PII, or secured client data

Nice to have:

• Knowledge of healthcare AI applications and regulatory compliance (HIPAA, CMS)
• Experience with React, Angular or Vue.js
• Strong interpersonal skills
• Architecting skills
• Ability to convince multiple stakeholders

More skills:

AI, Gen AI (Multi modal LLMs), Image Processing, LLM fine tuning techniques, Lang Graph, Agentic AI Frameworks, Crew AI, Open AI Swarm, Graph Database, API development, ML Ops, LLM Ops, Python, TensorFlow, PyTorch, Cloud platforms (AWS, Azure, GCP), Spark, Hadoop, SQL, NoSQL databases, Streamlit, React, Angular, Vue.js

Other:

• Fully remote opportunity to work from anywhere in India
• Opportunity to work on cutting-edge AI solutions in a mission-driven healthcare technology environment