Overview

As an ​Data Science AI Engineer at Gainwell, you will be design, develop, and deploy advanced AI and Generative AI (Gen AI) solutions, across our healthcare technology platforms.

Responsibilities

• Development based on AI/ GEN AI– Design, build, and train ML, deep learning, time series models, Gen AI (Multi modal LLMs), predictive analytics, NLP, Image Processing solutions for healthcare applications.
• Fully Remote Opportunity – Work from anywhere in India
• Work life balance
• Opportunity to Work on Cutting-Edge AI Solutions in a mission-driven healthcare technology environment

Qualifications

• 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.
• Performance Optimization – Continuously monitor, refine, and optimize AI / GEN AI models for accuracy, efficiency, and speed, leveraging ML Ops and LLM Ops best practices.
• Compliance & Security – Ensure AI implementations adhere to healthcare industry regulations, ethical AI principles, and data privacy standards.
• Front End Development – Stream lit is a must.
• Bachelor or Master’s or higher in Computer Science, AI, Data Science, Engineering or a related field.
• 2 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.
• 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.