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Gen AI Engineer, Data Science
Gainwell TechnologiesAI Engineer designing, developing, and deploying advanced AI solutions across healthcare technology platforms. Focus on enhancing healthcare outcomes while ensuring compliance with industry standards.
Tech Stack
Tools & technologiesAngularAWSAzureCloudGoogle Cloud PlatformHadoopJavaScriptNoSQLPythonPyTorchReactSparkSQLTensorflowVue.js
About the role
Key responsibilities & impact- Design, develop, and deploy advanced AI and Generative AI (Gen AI) solutions, across healthcare technology platforms
- Build and optimize AI and GEN AI technologies, integrating them into existing systems
- Ensure effectiveness in improving healthcare outcomes and operational efficiency while maintaining compliance with industry standards
- LLM Fine-Tuning: Hands-on with multiple techniques
- Agentic AI: Built solutions using LangChain, LangGraph, CrewAI
- Data Processing: Preprocessing, feature engineering, model training on large healthcare datasets
- System Integration: Skilled in API development, seamless integration with existing stacks
- Performance Optimization: Continuous monitoring, refinement, ML Ops & LLM Ops best practices
- Compliance & Security: Guardrails, ethical AI, HIPAA/CMS adherence
- Automation: Workflow enhancement through AI-driven solutions
- Frontend: Streamlit required; React/Angular/Vue.js preferred
- Leadership: Team lead experience, cross-functional collaboration, translating business needs into deployable solutions
Requirements
What you’ll need- 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.
Benefits
Comp & perks- Fully Remote Opportunity – Work from anywhere in India
- Minimal Travel Required – Occasional travel opportunities (0-10%)
- Opportunity to Work on Cutting-Edge AI Solutions in a mission-driven healthcare technology environment
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
Machine LearningDeep LearningGenerative AINatural Language Processing (NLP)Computer VisionData ProcessingAPI DevelopmentPerformance OptimizationFeature EngineeringModel Training
Soft Skills
Problem-SolvingCross-Functional CollaborationInterpersonal SkillsLeadership