ML Engineer
5 days ago
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.
Desired Competencies (Technical/Behavioral Competency)Must-Have
- Support pre-project consulting for a portfolio pipeline of initiatives
- Support production deployment and lifecycle management of machine learning models
- Build and support large-scale batch and real-time data pipelines with data processing frameworks on Amazon Cloud Platform and hybrid cloud environments
- Collaborate with application development teams, architects, Data Scientists, Machine Learning experts, and stakeholders
- Develop, implement, and support IT products and applications to meet the customer and IT needs
- Test all solution aspects including but not limited to security, performance, and integration
- Participate in Product Vertical Teams to continuously experiment, iterate, and deliver product objectives by adopting Agile development practices
Good-to-Have
- Airline Domain Knowledge
- Experience in designing and maintaining data pipelines. Knowledge of PySpark, Python, Hadoop ecosystems, open-source development frameworks, etc.
- Proficiency in infrastructure provisioning and configuration management using tools like Terraform, Ansible, AWS CDK, or AWS CloudFormation, etc.
- Experience in cloud-based design and development preferably using AWS
- Experience in agile development processes and data-driven development
- Double Pay
- Five Day work week
- Life Insurance
- Medical Insurance
- Performance Bonus
Mid-Senior level
Employment typeFull-time
Job functionInformation Technology
IndustriesIT Services and IT Consulting
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