AI/ML Engineer
On-siteBengaluru, Karnataka, India
Job Summary
Develop cutting-edge GenAI solutions using RAG, multi-agent systems, and fine-tuning with tools like HuggingFace, LangChain, and DSPy. Own production rollouts of consumer and internal GenAI applications while collaborating cross-functionally to shape product roadmaps with engineering and product teams. Deploy production-grade machine learning models on AWS, Azure, or GCP, leveraging PyTorch, scikit-learn, and pandas to solve business problems. Possess extensive hands-on industry data science experience and a graduate degree in a quantitative discipline. Fluency in English and willingness to work across time zones are required. Immediate joiners are preferred. Databricks Intelligence Platform and Apache Spark expertise are a strength for this role within a high-performance healthcare analytics team.
Required Qualifications
- Experience in building GenAI applications, including RAG, multi-agent systems, Text2SQL, fine-tuning, etc., with tools such as HuggingFace, LangChain, and DSPy
- Expertise in deploying production-grade GenAI applications, including evaluation and optimizations
- Extensive years of hands-on industry data science experience, leveraging common machine learning and data science tools, i.e. pandas, scikit-learn, PyTorch, etc.
- Experience in building production-grade machine learning deployments on AWS, Azure, or GCP
- Graduate degree in a quantitative discipline like Computer Science or equivalent practical experience
- Fluency in English
- Willingness to work across time zones
Desired Qualifications
- Experience in using the Databricks Intelligence Platform and Apache Spark to process large-scale distributed datasets
- Experience in communicating and/or teaching technical concepts to non-technical and technical audiences alike
- Highly motivated/self-starter with a sense of ownership, willingness to learn, and desire to succeed
- Strong teamwork, problem-solving, and analytical skills
- Good understanding of Pharma Quality Standards and Practices
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