MLOps Engineer
T-Systems ICT India Pvt. Ltd.5 months ago
Pune, IndiaMid Level
Responsibilities
- Implement, improve, harmonize, and refactor data processing and machine learning pipelines across projects.
- Develop and maintain applications in server and cloud environments using Python and related tooling.
- Support data scientists in productizing prototype applications, including logging, monitoring, and testing.
- Automate ETL and other manual processes while improving data delivery and infrastructure scalability.
- Validate and implement business changes in code repositories and ensure solution standardization.
- Participate in data architecture design for prototypes and applications.
- Create data tools for analytics and data science teams.
- Write documentation and guidelines and contribute to internal process improvements.
Requirements
- Working experience in IT, such as software development, automation, DevOps, or data science.
- Good understanding of time series forecasting and its scalability.
- Strong Python coding skills.
- Preference for Linux over Windows.
- Experience with at least one major cloud service provider.
- Experience working on a fully automated CI/CD pipeline.
- SQL knowledge and experience with relational databases.
- Analytical, structured, systematic, and fast-learning approach.
- Team-oriented communication skills and willingness to participate actively in discussions.
- Openness to an international environment and willingness to travel occasionally within Europe.
Tech Stack
Categories
About T-Systems ICT India Pvt. Ltd.
T-Systems ICT India Pvt. Ltd. provides integrated IT and digital transformation services, including cloud migration and operations (Azure), SAP S/4HANA services, application development, analytics, and cybersecurity for global enterprises. A wholly owned subsidiary of T-Systems International GmbH (part of Deutsche Telekom), it was founded in 2016 and is headquartered in Pune with an additional center in Bengaluru. The India unit supports industries such as automotive, manufacturing, logistics, healthcare, and the public sector.