🇮🇳 Principal ML Engineer Full time

We are looking for ML scientists, Data Engineers, Software Development Engineers, Product/Program Managers and ML engineers with a strong background in machine learning to build industry-leading solutions. You will work with huge volumes of data to solve/enable solving real-world problems in the Healthcare domain that are productionized into our Health AI products. Your solutions will be productized as features in the end products. These are new teams that we are putting together in India Center from scratch and the work will span across New Feature Development for CDA Specialty Expansion & Innovation, Language & Region Expansion, Software Development across front-end, back-end, test automation and mobile, ML Engineering, MLOps, LLMOps, Applied ML Sciences and ML Research, with a huge focus on GenAI capabilities. There is a huge emphasis on Large Language Models (LLMs) and Generative AI. Your contributions will be pivotal in delivering our new Generative AI-powered solutions for healthcare and enterprise customers.

- The ML Engineer is expected to fully own the services that are built with the ML Scientists. This cuts across scalability, availability, having the metrics in place, alarms/alerts in place – and be responsible for the latency of the services
- Cloud Administration: administration of VMs and the cloud admin stuff including patching VMs, upgrading packages, working with endpoints, load balancing etc.; Production support of models managing incidents related to the models & data
- Setup CI/CD pipelines for the ML scientists and own the production pipeline around pushing things to prod; Setup and own MLOps environment around cloud
- Data quality checks & onboarding the data on to the cloud for modeling purposes
- Build extensible solutions around drift checks (model drift, data drift, concept drift), production quality code and impact assessment
- These roles should have a ML Sciences understanding as well
- Prompt Engineering, FT work, Evaluation, Data
- End-end AI Solution architecture, latency tradeoffs, LLM Inference Optimization, Control Plane, Data Plate, Platform Engineering
- Comfort in Python and Java is highly desirable
- The Principal ML Engineer will head the ML engineering for a pod and be the technical leader for all ML/AI Engineering issues in a delivery pod

- Ph.D. Degree preferred.
- Experience having led multiple projects leveraging LLMs, GenAI and Prompt Engineering Exposure to real-world MLOps deploying models into production adding features to products
- Knowledge of working in a cloud environment
- 5+ Years of Experience
- Strong understanding of LLMs, GenAI, Prompt Engineering and Copilot
- Career Level - IC4

TBD