Cognizant (NASDAQ: CTSH) is a leading provider of information technology, consulting, and business process outsourcing services, dedicated to helping the world's leading companies build stronger businesses. Headquartered in Teaneck, New Jersey (U.S.). Cognizant is a member of the NASDAQ-100, the S&P 500, the Forbes Global 1000, and the Fortune 500 and we are among the top performing and fastest growing companies in the world.

AI Tech Lead

Key Responsibilities

• Lead the full lifecycle of analytics projects—from data collection to solution delivery.
• Engage weekly with clients to discuss technical and functional aspects of the project.
• Collaborate with business experts and project managers to define daily tasks and priorities.
• Supervise the application of ML algorithms on client data and ensure data quality.
• Drive automation and industrialization of data processes.
• Provide feedback to the product team based on client usage.
• Coach and mentor junior team members.
• Maintain and support analytics solutions in business-as-usual scenarios.

Required Qualifications

• Bachelor’s or Master’s degree in STEM fields.
• 10+ years of experience in Data Science and Analytics.
• Strong passion for AI, ML, and Operations Research.
• Deep understanding of AI algorithms and their practical applications.
• Proven experience in delivering end-to-end data science solutions using Python.
• RGM/TPM background is required.

Technical Skills

Python Programming

• Libraries: pandas, numpy
• PLUS: matplotlib
• Programming Paradigms: object-oriented programming
• PLUS: functional programming
• Data Management: data wrangling (primary keys, grouping, filtering, joining)
• PLUS: remote storage (e.g., blob usage)
• Mathematics: solid foundation in machine learning basics
• Tools: VSCode (preferred for Azure integration), Jupyter Notebooks, Git (push, pull, fetch, merge)

Cloud & Data

• Experience with cloud services for data storage, pipeline automation, and ML deployment.
• Proficiency in SQL.

Soft Skills

• Excellent communication and collaboration abilities.
• Strong analytical thinking and problem-solving skills.
• Experience in team supervision and mentoring.