Lead end-to-end AI/ML solution design and implementation across a range of business domains in financial services to drive innovation and competitive advantage in the BFSI sector.
Requirements
- Proficient in Python, scikit-learn, TensorFlow, PyTorch, HuggingFace.
- Experience with NLP, LLMs (GPT), and deep learning.
- Hands-on with MLOps pipelines and tools.
- Experience with graph analytics tools (Neo4j, TigerGraph, NetworkX).
- Knowledge of Spark, PySpark, Scala.
Responsibilities
- Architect and drive the design, development, and deployment of scalable ML/AI solutions.
- Lead data science teams through complete project lifecycles – from ideation to production.
- Define standards, best practices, and governance for AI/ML solutioning and model management.
- Oversee integration of data science models into production systems.
- Evaluate and recommend ML tools, frameworks, and cloud-native solutions.
- Guide feature engineering, data strategy, and feature store design.
- Promote innovation with generative AI, reinforcement learning, and graph-based learning.
Other
- 10+ years of experience in ML/AI with at least 4 years in architectural leadership.
- Strong BFSI domain knowledge.
- Experience leading CoEs or data science accelerators.
- Open-source contributions or published research.
- Collaborate with data engineering, MLOps, product, and business teams.
