Artificial Intelligence Engineer

Tata Consultancy Services; Toronto; On-site; CAD 90,000 - 110,000; Full time

Job summary

Tata Consultancy Services Canada Inc. invites applications for an AI/ML Engineer based in Toronto, Ontario.

The role focuses on developing Python-based solutions, ML models, and scalable AI applications across the full stack, leveraging cloud platforms and APIs. The ideal candidate has hands-on experience with TensorFlow/PyTorch, RESTful services, data processing with Pandas/SQL, and a modern AI-first mindset.

Qualifications

• Strong programming in Python or other languages.
• Experience with ML frameworks (TensorFlow, PyTorch, Scikit-learn).
• Hands-on experience with AI coding assistants (GitHub Copilot).
• Familiarity with LLMs, prompts, and generative AI.
• Experience with REST APIs, microservices, and cloud platforms (Azure/AWS/GCP).
• Data processing with Pandas, SQL, Spark.
• Azure OpenAI / OpenAI APIs experience.
• Analytical, problem-solving, and debugging skills.

Skills

Python

TensorFlow

PyTorch

Scikit-learn

LLMs & prompts

REST APIs

Microservices

Azure

AWS

GCP

Pandas

SQL

Spark

AI-first mindset

Problem solving

Coding

Debugging

Tools

GitHub Copilot

Azure OpenAI

OpenAI API

Job description

Tata Consultancy Services (TCS) is an equal opportunity employer, and embraces diversity in race, nationality, ethnicity, gender, age, physical ability, neurodiversity, and sexual orientation, to create a workforce that reflects the societies we operate in. Our continued commitment to Culture and Diversity is reflected in our people stories across our workforce and implemented through equitable workplace policies and processes.

Tata Consultancy Services (BSE: 532540, NSE: TCS) is the technology partner of choice for industry-leading organizations worldwide. Since its inception in 1968, TCS has upheld the highest standards of innovation, engineering excellence and customer service.

It has set an aspiration to become the world's largest AI-led technology services company and is enabling its clients to transform themselves across the full AI stack, from infrastructure to intelligence.

Rooted in the heritage of the Tata Group, TCS is focused on creating long term value for its clients, its investors, its employees, and the community at large. With a highly skilled workforce spread across 56 countries and 194 service delivery centers across the world, the company has been recognized as a top employer in six continents. With the ability to rapidly apply and scale new technologies, the company has built long term partnerships with its clients. Many of these relationships have endured into decades and navigated every technology cycle, from mainframes in the 1970s to artificial intelligence today.

Skills Required:

• Strong programming skills in Python (preferred) or other languages.
• Experience in machine learning frameworks (TensorFlow, PyTorch, Scikit-learn).
• Hands-on experience with GitHub Copilot or similar AI coding assistants.
• Understanding of LLMs, prompt engineering, and generative AI.
• Experience with REST APIs, microservices, and cloud platforms (Azure/AWS/GCP).
• Knowledge of data processing tools (Pandas, SQL, Spark).
• Experience with Azure OpenAI / OpenAI APIs.
• Problem-solving and analytical thinking skills, Strong coding and debugging skills and Innovation mindset with AI-first approach.

Salary Range - CA$ 90,000 - CA$ 110,000 Per Year

TCS does not use artificial intelligence tools for candidate screening or evaluation. This post is for a current vacancy. The hiring process includes an initial screening, followed by a technical evaluation and managerial discussion.

Tata Consultancy Services Canada Inc. is committed to meeting the accessibility needs of all individuals in accordance with the Accessibility for Ontarians with Disabilities Act (AODA) and the Ontario Human Rights Code (OHRC). Should you require accommodation during the recruitment and selection process, please inform Human Resources.

Thank you for your interest in TCS. Candidates that meet the qualifications for this position will be contacted within a 2-week period.