???? ???? ?? ??? ??? ?? ??? ???????'? ???????

?????? ?????: ?? ??????? - ?? ??????? (?? ??? ??-?? ???)

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 solid 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 strong 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 technical research and contribute to scientific publications and research papers
- Develop intelligent simulation systems that emulate or automate service-led workflows to achieve efficiency and cost improvements
- Collaborate with product, engineering, healthcare, and other stakeholders to translate requirements into effective AI solutions
- Ensure AI systems follow appropriate ethical, privacy, security, and healthcare regulatory requirements
- Maintain technical documentation and communicate AI concepts, system capabilities, limitations, and outcomes to technical and non-technical stakeholders
- Contribute to continuous improvement of AI engineering practices, model development processes, and production infrastructure

What Makes You a Great Fit
- 3-5 years of experience building scalable ML systems,



AI applications, and backend services
- Bachelor's degree in Computer Science, Engineering, or a related discipline, preferably from a Tier-I institution
- Strong hands-on expertise in Large Language Models (LLMs), prompting, fine-tuning, and Generative AI
- Strong understanding of machine learning concepts and practical experience with TensorFlow, PyTorch, or similar frameworks
- Experience developing, deploying, monitoring, and optimising production ML models
- Strong proficiency in Python and hands-on experience with FastAPI for building RESTful microservices
- Experience with Kubernetes and containerised application deployment
- Familiarity with Google Cloud Platform (GCP) and cloud-based ML/AI infrastructure
- Experience building scalable backend systems and production-grade AI services
- Ability to conduct independent AI/ML research and contribute to scientific papers or technical publications
- Strong analytical and problem-solving skills with an ability to translate research into practical engineering solutions
- Understanding of AI ethics, healthcare data privacy, security, and regulatory considerations
- Excellent written and verbal communication skills, including the ability to explain complex technical concepts to non-technical stakeholders
- Strong ownership, collaboration, and execution skills in fast-paced, cross-functional environments
- Willingness to travel to the Vadodara, Gujarat headquarters for approximately one week when required

📌 ML Engineer (India)
🏢 Weekday AI (YC W21)
📍 India