Responsibilities
- Collaborate with a technically sophisticated team of data scientists and data engineers located within and outside Bangalore
- Translate business needs into specific quantitative questions answerable with available data using sound methodologies
- Lead end-to-end data initiatives including data ingestion, transformation, solution development, and advanced AI/ML model deployment
- Establish and maintain AI engineering and data science best practices, and model governance frameworks
- Design and develop frameworks for automated testing of data pipelines and machine learning artifacts
- Deploy models into production by building APIs or leveraging ETL pipelines
- Utilize a wide variety of open-source technologies to create innovative solutions
Requirements
- University degree in Engineering or Computer Science (or comparable education/equivalent experience), with strong programming and data analytical skills
- Minimum 3 years of work experience in Machine Learning, AI, Data engineering, big data projects
- Strong knowledge of data structures, algorithms and cloud infrastructure
- Proficiency in Python, PySpark, TypeScript/JavaScript and SQL
- Experience in end-to-end development of modern GenAI applications (RAG, intelligent document processing, chatbot solutions)
- Proven experience in designing and implementing end-to-end data pipelines and deploying ML and AI models
Nice to Have
- Hands-on experience in using Palantir Foundry's apps
- Experience with cloud platforms like AWS, Azure, or Google Cloud
- Experience in the re/insurance industry
- Strong communication skills and ability to explain complex technical concepts to nontechnical stakeholders
Team
Structure: Corporate Solutions Advanced Data Science team
