Job Description

Key Skills and 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.
• Collaborate with data engineering, MLOps, product, and business teams.
• 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.
• Knowledge of Spark, PySpark, Scala.
• Experience leading CoEs or data science accelerators.
• Open-source contributions or published research.

Qualifications:

• 10+ years of experience in ML/AI with at least 4 years in architectural leadership.
• Proficient in Python, scikit-learn, TensorFlow, PyTorch, HuggingFace.
• Strong BFSI domain knowledge.
• Experience with NLP, LLMs (GPT), and deep learning.
• Hands-on with MLOps pipelines and tools.
• Experience with graph analytics tools ( Neo4j, TigerGraph, NetworkX ).

EOE:

Our client is an Equal Opportunity Employer and Prohibits Discrimination and Harassment of Any Kind: We are committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. All employment decisions at our client are based on business needs, job requirements, and individual qualifications, without regard to race, color, religion or belief, national, social or ethnic origin, sex (including pregnancy), age, physical, mental or sensory disability, HIV Status, sexual orientation, gender identity and/or expression, marital, civil union or domestic partnership status, past or present military service, family medical history or genetic information, family or parental status, or any other status protected by the laws or regulations in the locations where we operate. We will not tolerate discrimination or harassment based on any of these characteristics.

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