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Join Tata Consultancy Services, Asia Pacific and be part of an organization committed to sustainable development for our future. TCS follows the Tata group philosophy of building sustainable businesses that are rooted in the community and demonstrate care for the environment. Our unique values position us to combine a purpose-driven worldview with digital innovation, collaborating with customers, communities and governments to lead and shape innovative solutions for a sustainable future. TCS has been carbon neutral in its operations across 11 countries, 12 delivery centres and 18 offices in Asia Pacific since 2022. This is only the initial stage in TCS’ journey as we strive to achieve long-term net zero emissions by 2030.
Corporate sustainability is embedded in our triple-bottom-line, focusing on people, the planet, and our purpose. Our offices are designed with eco-friendly features that significantly reduce our carbon footprint and enhance energy efficiency. We actively champion green initiatives, such as promoting paperless operations, implementing energy-efficient practices, and fostering employee engagement in sustainability efforts. When you become part of the TCS family, you will play an essential role dedicated to innovation, excellence, and crafting a brighter, greener future together. Join us and be a part of our mission to drive sustainability through technology and talent at Tata Consultancy Services, APAC today.
Role : Data Science Architect
Experience : 12+ Years
Location : Melbourne
12+ years of experience in ML/AI with at least 4 years in architectural leadership.
Strong BFSI domain knowledge.
Experience with NLP, LLMs (GPT), and deep learning.
Hands-on with MLOps pipelines and tools.
Experience with graph analytics tools (Neo4j, TigerGraph, NetworkX).
Strong cloud architecture experience in AWS, GCP, or Azure.
Key Responsibilities :
Architect and drive the design, development, and deployment of scalable ML/AI solutions.
Lead data science teams through complete project lifecycles – from ideation to production.
Define standards, best practices, and governance for AI/ML solutioning and model management.
Collaborate with data engineering, MLOps, product, and business teams.
Oversee integration of data science models into production systems.
Evaluate and recommend ML tools, frameworks, and cloud-native solutions.
Guide feature engineering, data strategy, and feature store design.
Promote innovation with generative AI, reinforcement learning, and graph-based learning.
Thank you for your interest in applying for this position with TCS. All applicants who meet the requirements will be considered equally and fairly for employment. We will review your application and will get back to you if we are considering your interest in this opportunity
Seniority level
Seniority level Mid-Senior level
Employment type
Employment type Full-time
Job function
Job function Information Technology
Industries IT Services and IT Consulting
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