AI Tech Lead (Remote)

Cognizant; Mississauga; Remote; CAD 120,000 - 150,000; Full time

Job summary

A leading technology and consulting firm in Canada is seeking an experienced AI Tech Lead to oversee the full lifecycle of analytics projects. You will engage with clients on technical matters, supervise ML applications, and mentor junior team members. The ideal candidate has over 10 years of experience in Data Science and a strong foundation in Python and AI algorithms.

Qualifications

• 10+ years of experience in Data Science and Analytics.
• Deep understanding of AI algorithms and their practical applications.
• Experience with cloud services for data storage, pipeline automation, and ML deployment.

Responsibilities

• Lead the full lifecycle of analytics projects.
• Engage with clients on technical and functional aspects.
• Supervise the application of ML algorithms on client data.

Skills

Data Science

Machine Learning

Python Programming

SQL

Communication Skills

Education

Bachelor’s or Master’s degree in STEM fields

Tools

pandas

numpy

matplotlib

VSCode

Jupyter Notebooks

Git

Job description

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.