Data AI Engineer
- Mississauga, ON, Canada
$100,000 to $130,000 CAD / year · Full-time
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Job details
- Pay
- $100,000 to $130,000 CAD / year
- Job type
- Full-time
- Apply by
- Posting language
- English
- Posted
Original job description
Inclusion without Exception
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.
TCS has been serving the Canadian marketplace for more than 35 years and today is the technology partner of choice for many of the country's leading organizations. As one of the largest IT services providers in Canada and globally, TCS is aiming 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 and values of the Tata Group, TCS is focused on creating long-term value for its clients, investors, employees, and the communities it serves. With a highly skilled workforce supporting customers from coast to coast, TCS has consistently been recognized as a Top Employer by the Top Employers Institute, including a recent top ranking at the country level.
TCS also sponsors 14 of the world's most prestigious marathons and endurance events, including the TCS Toronto Waterfront Marathon, reflecting its commitment to health, sustainability, and community empowerment.
Role Overview
We are seeking an experienced AI/ML Developer to design, develop, and deploy machine learning and generative AI solutions. The ideal candidate should possess strong expertise in Python, Machine Learning algorithms, NLP, and Large Language Models (LLMs), with the ability to build scalable AI-driven applications in enterprise environments.
Key Responsibilities
Design, develop, and implement AI/ML solutions for business problems.
Build, train, evaluate, and optimize machine learning models.
Develop applications leveraging LLMs, NLP, and Generative AI technologies.
Collaborate with business users, data engineers, and architects to gather requirements and recommend AI-driven solutions.
Develop and maintain data pipelines and model deployment frameworks.
Monitor model performance and implement continuous improvement strategies.
Integrate ML models with enterprise applications through APIs and cloud platforms.
Ensure compliance with data security, privacy, and governance standards. [AI ML Engi...- Engineer | PDF], [AI ML Engi...r Engineer | PDF]
Required Skills
Good years of application development experience.
Strong proficiency in Python.
In-depth knowledge of Machine Learning algorithms and techniques.
Experience with NLP and Generative AI.
Experience working with Large Language Models (LLMs), preferably in banking/financial services.
Knowledge of TensorFlow, PyTorch, or Scikit-learn.
Good understanding of SQL and data processing.
Experience with model evaluation metrics such as Accuracy, Precision, Recall, F1 Score, RMSE, and MAE.
Strong analytical and problem-solving skills.
Salary Range - CA$ 100,000 - CA$ 130,000 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. We invite you to continue to apply for other opportunities that match your profile.
More about this job
Responsibilities
Design, build, train, evaluate, and optimize machine learning and generative AI solutions, including NLP and LLM-powered applications. Develop data pipelines and deployment frameworks, integrate models with enterprise applications, collaborate with business and technical teams, and monitor model performance while ensuring security, privacy, and governance compliance.
Requirements
Requires substantial application development experience, strong Python skills, and in-depth knowledge of machine learning algorithms, NLP, and generative AI, including LLMs; financial services experience is preferred. Candidates should also know a machine learning framework, SQL and data processing, model evaluation metrics, and demonstrate strong analytical and problem-solving skills.
Skills
- Python
- Machine Learning
- Natural Language Processing
- Generative AI
- Large Language Models
- TensorFlow
- PyTorch
- Scikit-Learn
- SQL
- Data Processing
- Model Evaluation
- Data Pipelines
- Model Deployment
- API Integration
- Cloud Platforms
- Data Security And Governance
Visa sponsorship
Not detected in the job text
Categories
- Technology
- Data & Analytics
- Software
- Engineering
Keywords
- Artificial Intelligence
- Machine Learning
- Python
- Natural Language Processing
- Generative AI
- Large Language Models
- TensorFlow
- PyTorch
- Scikit-Learn
- SQL
- Data Processing
- Model Training
- Model Evaluation
- Accuracy
- Precision
- Recall
- F1 Score
- RMSE
- MAE
- Data Pipelines
- Model Deployment
- APIs
- Cloud Platforms
- Enterprise Applications
- Banking
- Financial Services
- Data Security
- Data Privacy
- Data Governance