Senior/Lead Machine Learning Engineer

Role Overview : We are seeking a Senior Lead, Machine Learning Engineer to drive the development and deployment of AI systems that enhance our caregiver education products. You will lead the design and implementation of cutting-edge AI/ML solutions, mentor a team of engineers, and collaborate across functions to build meaningful, impactful technology that improves patient outcomes. Key Responsibilities : - AI/ML Development : Lead the end-to-end development of AI systems, from concept through deployment, including LLM-based features such as sentiment analysis, intent recognition, and Retrieval Augmented Generation (RAG). - Cross-functional Collaboration : Work closely with product managers, designers, and clinical experts to identify and implement AI-driven innovations aligned with product goals. - Model Deployment & Optimization : Build scalable ML pipelines and deployment systems across cloud environments (e.g., Google Cloud), focusing on performance, efficiency, and seamless integration. - Performance Monitoring : Establish robust frameworks and success metrics for evaluating AI model performance using tools like Langfuse, Langsmith, or Lunary. - Team Leadership : Hire, mentor, and lead a high-performing team of AI/ML engineers. Foster a collaborative, curious, and inclusive engineering culture. - Rapid Experimentation : Enable and manage A/B testing processes to optimize product outcomes and continuously refine AI-powered features. - Documentation & Knowledge Sharing : Document technical specifications, methodologies, and research findings to facilitate cross-team collaboration and transparency. Who You Are : - Experience : 8 years in software development with a strong focus on AI/ML. Proven experience with : 1. LLMs and generative AI 2. Retrieval-Augmented Generation (RAG) 3. Fine-tuning and self-hosting open-weight models - Technical Proficiency : 1. Languages : Python, JavaScript, Java (or similar) 2. Databases : Strong SQL skills and familiarity with relational databases and data warehouses 3. Infrastructure : Kubernetes, Docker, CI/CD pipelines, and cloud platforms (preferably Google Cloud) - ML Expertise : Strong experience building AI/ML models from scratch, including dataset preparation, model training, evaluation, and optimization. - Observability & QA : Familiar with model observability tools and automated testing frameworks like Jest or Mocha. - Education : Bachelor's or Masters degree in Computer Science, Data Science, Information Science, Mathematics, or equivalent hands-on experience. - Mindset & Skills : Excellent problem-solving abilities, strong communication skills, a detail-oriented mindset, and the ability to work both independently and collaboratively. Why Join Us : - Work on impactful problems with real-world outcomes that improve millions of lives - Join a globally recognized, award-winning organization at the forefront of health innovation - Be part of a mission-driven, values-led, and deeply collaborative team - Build AI solutions for one of the most underserved and powerful segments of healthcarefamily caregivers (ref:hirist.tech)

Location: bangalore, IN

Posted Date: 5/1/2025