Experience:

• 5+ years of hands-on experience in AI/ML
• 5+ years of experience with libraries such as OpenAI API, Hugging Face Transformers, or similar tools for finetuning and integrating LLMs
• Experience with agentic frameworks

Qualification:

• Graduate degree in computer Science or similar fields

Role Focus:

• Lead applied research in LLMs, generative AI, and multimodal models
• Design and implement scalable AIML pipelines
• Implement and iterate on AI and machine learning solutions
• Support proof‑of‑concepts and model experiments
• Design, develop, and deploy AI-powered solutions
• Support performance and cost improvements
• Contribute to building and testing APIs
• Collaborate with cross‑functional partners
• Participate in design and code reviews
• Design and implement AI systems for conversational search in medical content
• Evaluate, debug, and improve conversational AI
• Monitor and optimize system performance

Additional responsibilities:

• Publish internal whitepapers and contribute to external conferences
• Collaborate with engineering teams to deploy models into production
• Ensure responsible and ethical AI practices
• Stay up-to-date with advances in AI/ML
• Comply with the terms and conditions of the employment contract, company policies and procedures

Nice to have:

• Exposure to vector databases
• Experience with libraries such as OpenAI API, Hugging Face Transformers, or similar tools for finetuning and integrating LLMs

More skills:

multimodal models, vector databases, Reinforcement learning, Self-improving techniques

Other:

• Comprehensive benefits and career development opportunities
• Culture guided by inclusion, talented peers
• Mission to help people live healthier lives and make the health system work better for everyone
• Commitment to mitigating impact on the environment and enabling equitable care