Data Science AI Engineer

 Development based on AI/ GEN AI– Design, build, and train machine learning, deep learning, time series models, Gen AI (Multi modal LLMs), predictive analytics, Natural Language Processing, Image Processing solutions for healthcare applications.  
•    Experienced in multiple LLM fine tuning techniques.
•    Experienced in building GEN AI solutions using RAG architecture.
•    Skilled in both Lang Chain and Lang Graph.
•    Experience in Agentic AI Frameworks and Workflow using Lang Chain, Lang Graph or Crew AI or Open AI Swarm.
•    Experienced in multiple Vector Databases as well as Graph Database
•    Skilled in Agentic AI Framework and has built at least one solution using Agentic AI.
•    End-to-End AI Solution Deployment – Develop, test, and deploy AI solutions in cloud and on-premises environments, ensuring reliability, scalability, and real-world impact.  
•    Data Processing – Work with large healthcare datasets, performing data preprocessing, feature engineering, and model training while ensuring compliance with HIPAA and other regulatory standards.  
•    System Integration – Skilled in API development and integrations.
 Implement and optimize AI models within Gain well’s existing technology stack, collaborating with software engineers to ensure seamless integration.  
•    Experienced in ML Ops and LLM Ops. Experienced in evaluating models and continuous performance monitoring of both ML/DL and LLMs. Experienced in applying security measures in GEN AI solutions, implementing guard rails.
•    Performance Optimization – Continuously monitor, refine, and optimize AI / GEN AI models for accuracy, efficiency, and speed, leveraging ML Ops and LLM Ops best practices.  
•    AI Research & Innovation – Stay updated with the latest AI/ML/ GEN AI advancements, exploring new technologies and methodologies to enhance solution effectiveness.  
•    Compliance & Security – Ensure AI implementations adhere to healthcare industry regulations, ethical AI principles, and data privacy standards.  
•    Automation & Workflow Enhancement – Identify opportunities to automate workflows and optimize business processes using AI-driven solutions.  
•    Front End Development – Stream lit is a must. Good to have React, Angular or Vue.js
•    Leadership Skills – Should be able to work as a team lead, interface with team leads of other functions/departments, understand business requirements and translate the same to an appropriate solution that is feasible to develop and deploy.

What we're looking for

•    Bachelor or Master’s or higher in Computer Science, AI, Data Science, Engineering or a related field.  
•    5 plus to around 15 years of experience in AI/ML engineering, with a focus on developing and deploying AI solutions.  
•    Hands-on expertise in machine learning, deep learning, Gen AI (multi modal LLMs), NLP, and computer vision.  
•    Strong programming skills in Python, TensorFlow, PyTorch, and other AI frameworks.  
•    Experience developing, deploying and finetuning LLMs (GPT, Gemini, Claude or similar) for real world applications including prompt engineering, model optimization and inference efficiency.     
•    Experience with cloud platforms (AWS, Azure, or GCP) and MLOps for scalable AI deployments.  
•    Proficiency in working with big data technologies (Spark, Hadoop, SQL, NoSQL databases).  
•    Strong problem-solving skills with the ability to translate business challenges into AI-driven solutions.  
•    Knowledge of healthcare AI applications and regulatory compliance (HIPAA, CMS) is a plus.  
•    Understanding of business use cases, strong interpersonal skills, architecting skills and abilities to convince multiple stakeholders.

What you should expect in this role

•    Fully Remote Opportunity – Work from anywhere in India
•    Opportunity to Work on Cutting-Edge AI Solutions in a mission-driven healthcare technology environment.