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.
About TCS
TCS is an IT services, consulting, and business solutions organization that has been partnering with many of the world’s largest businesses in their transformation journeys for over 55 years. Its consulting-led, cognitive-powered portfolio of business, technology, and engineering services and solutions is delivered through its unique Location Independent Agile™ delivery model, recognized as a benchmark of excellence in software development. A part of the Tata group, India's largest multinational business group, TCS operates in 55 countries and employs over 607,000 highly skilled individuals, including more than 10,000 in Canada. The company generated consolidated revenues of US $ 30 billion in the fiscal year ended March 31, 2025, and is listed on the BSE and the NSE in India. TCS' proactive stance on climate change and award-winning work with communities across the world have earned it a place in leading sustainability indices such as the MSCI Global Sustainability Index and the FTSE4Good Emerging Index.
Required Skill Set
Skills and Responsibilities
Role Description:
- Supports stability and reliability of AI-enabled production systems by assisting with fixes, validating model behavior, and participating in root cause analysis for both application and model-related issues under guidance.
- Assists in troubleshooting and resolving production issues (L1L2), including AIML model failures, data pipeline issues, and inference errors, escalating complex problems as needed to meet SLAs.
- Monitors applications, AI models, and data pipelines, identifying anomalies such as model drift, data quality issues, or performance degradation, and supports implementation of preventive measures.
- Contributes to problem management by documenting recurring issues, including AI model inaccuracies or failures, and assisting in root cause analysis and remediation.
- Supports performance and stability of systems by implementing minor enhancements, model updates, prompt tuning (for generative AI), or configuration fixes under supervision.
- Assists with change and release activities, including model deployments, retraining updates, and configuration changes, ensuring smooth and low-risk production releases.
- Collaborates with cross-functional teams, including data scientists, ML engineers, and business stakeholders, to support issue resolution and maintain service continuity.
- Maintains and updates runbooks, documentation, and knowledge articles, including AI model behavior, monitoring thresholds, and troubleshooting steps.
- Supports automation initiatives by identifying repetitive operational tasks and leveraging AI, scripts, or tools (e.g., RPA, intelligent automation) to improve efficiency.
- Learns and applies best practices in AI system support, including model monitoring, data governance, and responsible AI, while adhering to security and compliance standards.
- Provides regular updates on assigned tasks, incidents, and AI system performance to senior team members, while continuously developing skills in AIML, data handling, and production support practices.
Salary Range Format:
Base Salary Range:110,000 CAD/Yr..
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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.