Description
???? ???? ?? ??? ??? ?? ??? ???????'? ???????
?????? ?????: ?? ??????? - ?? ??????? (?? ??? ??-?? ???)

Experience: 3+ yrs
Location: Remote (India)
Job Type: Full-time

We are looking for an experienced ML Engineer to design, build, deploy, and maintain advanced Machine Learning, Large Language Model (LLM), and multi-agent AI systems that improve healthcare operations and workflows.
The role combines machine learning engineering, generative AI, backend development, cloud infrastructure, and AI research. The ideal candidate will have strong hands-on experience building scalable ML systems, developing LLM-based solutions, and deploying production-grade AI services in secure and reliable cloud environments.

Requirements
Key Responsibilities
- Design, develop, deploy, monitor, and maintain proprietary ML models, LLMs, and multi-agent AI systems for healthcare applications.
- Develop AI solutions that improve healthcare operations, workflows, efficiency, and service delivery.




- Customise and fine-tune open-source LLMs and integrate enterprise LLM platforms for healthcare-specific requirements.
- Develop effective prompting strategies to improve LLM performance across complex healthcare use cases.
- Build AI solutions for workflows such as prior authorisation and other healthcare operational processes.
- Develop scalable, secure, and maintainable Python microservices using FastAPI.
- Design and implement RESTful APIs and backend services supporting ML and AI applications.
- Deploy and orchestrate services using Kubernetes, with a robust focus on reliability, scalability, security, and operational performance.
- Work with GCP infrastructure to deploy and manage production AI and ML workloads.
- Monitor model and service performance and continuously optimise reliability, latency, scalability, and resource utilisation.
- Research emerging AI and ML techniques applicable to healthcare and translate relevant research into practical solutions.
- Conduct independent

📌 ML Engineer (India)
🏢 Weekday AI
📍 India