Tuesday, October 28, 2025
Tata Consultancy Services

Machine Learning Engineer

Posted: 7 hours ago

Job Description

Inclusion without ExceptionTata 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’s stories across our workforce and implemented through equitable workplace policies and processes.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.Job Description:Role Description:Design, develop, and deploy highly scalable and reliable identity resolution applications using Java and Apache Spark.Build and fine-tune probabilistic and deterministic matching models using Java-based machine learning libraries and Sparks ML capabilities.Experience in Data Pipeline Engineering using Apache Spark. Create and optimize complex ETL and machine learning data pipelines for batch and streaming data, ensuring efficient data processing and quality.Strong Java Expertise with strong object-oriented programming (OOPS) principles and design patterns in Java to write clean, modular, and maintainable code, leveraging APIs and other interfaces integration knowledge.Performance Optimization and troubleshooting Spark jobs and Java applications for optimal performance, resource utilization, and throughput on large datasets.Experience in working closely with data analysts and cross-functional engineering teams to understand business requirements and translate them into technicalRequired Qualifications:Experience in application development with a significant background in Java and allied data structures, algorithms, design patterns and frameworks.Proven hands-on experience building and deploying complex high data volume applications using Apache Spark, with a strong preference for Java API.Extensive experience with identity resolution, including probabilistic andor deterministic matching techniques.Experience with cloud-based data platforms like Snowlflake,Databricks,BigQuery and managing Spark applications within a cloud environment.Proficiency with SQL and a strong grasp of relational and non-relational databases.Good to have exposure to big data ecosystem components such as Hadoop, Hive, and Kafka.Good to have experience with graph databases (e.g., Neo4j) or graph-based machine learning.Background in know your customer (KYC), identity management or related domain is preferred.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.

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