Job Description :

- Develop cutting-edge GenAI solutions, incorporating the latest techniques from Mosaic AI research to solve business problems

- Own production rollouts of consumer and internally facing GenAI applications

- Collaborate cross-functionally with the product and engineering teams to influence priorities and shape the product roadmap

Required /Proven experience with the following :

- 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 Passion for collaboration, life-long learning, and driving business value through AI

- Experience in using the Databricks Intelligence Platform and Apache Spark? to process large-scale distributed datasets

- We require fluency in English and willingness to work across time zones.

- Must have 3+ years of experience in software engineering with at least 1+ years in GenAI application development and production deployment

- Must have proven experience building GenAI applications covering RAG pipelines, multi-agent systems, Text2SQL, and fine-tuning

- Must have expertise deploying production-grade GenAI applications including model evaluation, optimisation, and ownership of full production rollouts

- Must have strong hands-on experience with core ML and data science tools including pandas, scikit-learn, and PyTorch

- Must have experience building and deploying production-grade ML workloads on at least one of AWS, Azure, or GCP

- Must have strong English communication skills with the ability to work across time zones and collaborate cross-functionally with product, engineering, and business stakeholders

Note :

- Role is Hybrid, WFH flexibility as well upto 6 days a month. Candidates should be available to join within May 31st or June first week max

- Must hold a graduate degree in Computer Science, Statistics, Mathematics, or a related quantitative discipline or equivalent practical experience