Data Scientist

Responsibilities

• As Data scientist will assess business opportunities and promote use of data science, analytics within domain and build internal and external resources and expertise.
• The role requires being hands-on and working together with external and internal partners to develop, test and operationalize data science and analytical solutions as well as ensure its adoption by businesses.
• Work to leverage data (Transactional / Big Data, External/ Internal Data, Structured/ Unstructured Data) and analytics methods to develop analytics solutions
• Qualifications
• 6 - 8 years of experience, preferred
• BTech-BE from Tier 1/2 engineering schools or MStat/MS (Math)/MA Econ/ MS Analytics/data science from Tier 1/2 schools
• Knowledge on CI/CD method of working and MLOps.
• Lead/Ideate Agentic AI, GenAI and Classic ML initiative in AICoE
• Design ML/LLM pipelines, good knowledge of RAG, prompt engineering.
• Monitor system performance, logs, retrieval quality and prompt-effectiveness
• Design, develop, and maintain robust and scalable cloud functions using Python, FastAPI or Flask, and SQLModel/SQLAlchemy.
• Integrate microservices with ApigeeX for API management, security (authentication, authorization, rate limiting), monitoring, and analytics.
• Excellent Programming/ Data Wrangling skills with some languages like Python, R, Scala, Java, SQL
• Skills in areas like Agentic AI, GenAI, and some other traditional AI techniques like optimization, Statistics, Machine learning, NLP, Image/ Video, Speech analytics
• Good knowledge of some of the analytical platforms like GCP, Big Query, Google Cloud Storage, MS Azure, Google Looker, Databricks etc.