Data Science AI Engineer – Professional 1

• Design, build, and train machine learning, deep learning, time series, multimodal LLM, predictive analytics, natural language processing, and image processing solutions for healthcare applications.
• Develop, test, and deploy AI solutions in cloud and on-premises environments.
• Process large healthcare datasets through preprocessing, feature engineering, and model training while ensuring HIPAA and regulatory compliance.
• Develop APIs and integrations.
• Implement and optimize AI models within Gainwell’s existing technology stack in collaboration with software engineers.
• Evaluate models and continuously monitor ML/DL and LLM performance using MLOps and LLMOps.
• Apply security measures and guardrails in Gen AI solutions.
• Monitor, refine, and optimize AI/Gen AI models for accuracy, efficiency, and speed.
• Research AI/ML/Gen AI advancements and explore new technologies and methodologies.
• Ensure AI implementations follow healthcare regulations, ethical AI principles, and data privacy standards.
• Identify opportunities to automate workflows and optimize business processes with AI-driven solutions.
• Lead teams, interface with other functions/departments, understand business requirements, and translate them into feasible solutions.

• Bachelor or Master’s or higher in Computer Science, AI, Data Science, Engineering or a related field.
• 6 plus years of experience in AI/ML engineering, with a focus on developing and deploying AI solutions.
• 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.
• 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.
• Front End Development – Streamlit is a must. Good to have React, Angular or Vue.js.
• 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.

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