MLOps Engineer

About the Position

We are seeking an MLOps Engineer to support AI project teams in implementing and improving data processing and machine learning pipelines.

Responsibilities

• Support AI project teams, especially the forecasting delivery unit, to implement and improve data processing & machine learning pipelines across projects.
• Serve as the backbone for our Data Scientists, working closely with team members and internal customers in Deutsche Telekom Group across Europe to optimize our data solutions and infrastructures.
• Evolve, harmonize, and refactor existing solutions across projects.
• Validate and implement business changes in the code repository and ensure its standardization.
• Develop and maintain applications in our server/cloud environment.
• Assist data scientists with the productization of prototype applications – e.g., logging, monitoring, testing.
• Write documentation and guidelines.
• Automate processes for ETL.
• Identify, design, and implement internal process improvements: e.g., automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability.
• Participate in designing data architecture for various innovative prototypes and applications.
• Create data tools for analytics and data scientist team members.

Requirements

• Working experience in IT – e.g., software development, automation, DevOps, data science – with a good understanding of time series forecasting and its scalability.
• Proficiency in coding in Python.
• Preference for Linux over Windows.
• Experience with at least one of the major cloud service providers.
• Experience working on a fully automated CI/CD pipeline.
• SQL knowledge and experience working with relational databases.
• Ability to develop working solutions quickly and get things done.
• Analytical thinker with an affinity for structure, grasp things fast, and work systematically.
• Team player, open to an international environment, and able to travel occasionally to Europe.
• Agile mindset, communication skills, and willingness to actively participate in team discussions.
• Not afraid to ask questions when something is not clear or point out when something seems inefficient.

Nice to Have

• Experience with Docker, Kubernetes, and Helm chart.
• Experience with time series forecasting, automation, and DevOps.

We Offer

• Opportunity to work with a variety of tools and technologies like Python, Docker, Kubernetes & Helm chart.
• Collaborative and innovative work environment.
• Professional growth and development opportunities.

About the Company

Company Introduction – T-Systems ICT India Pvt. Ltd.

T-Systems Information and Communication Technology India Private Limited (T-Systems ICT India Pvt. Ltd.) is a certified Great Place To Work®, proudly recognized for its strong people-first culture and commitment to employee excellence.

As a wholly owned subsidiary of T-Systems International GmbH, T-Systems India operates out of Pune and Bangalore, with a dynamic team of over 4,200 professionals delivering high-value IT services to group customers worldwide. T-Systems India plays a key role in this global vision by delivering integrated, end-to-end IT solutions and sector-specific software to drive transformation across industries, including automotive, manufacturing, logistics, transportation, healthcare, and the public sector.

For over 25 years, T-Systems International GmbH has been at the forefront of digital innovation, driving progress and fostering digital optimism. As a leading European IT services provider and a proud part of Deutsche Telekom, T-Systems delivers transformative digitalization projects backed by deep expertise in consulting, cloud, AI, cybersecurity, and connectivity. With a global workforce of 26,000 employees across 26 countries, we set industry benchmarks in efficiency, sovereignty, security, and reliability-empowering organizations to unlock their full digital potential. With annual revenues exceeding EUR 4.0 billion (2024), T-Systems stands as one of Europe’s foremost digital transformation partners, committed to shaping the future of enterprise technology.

Additional Information

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Job Location

India