Job Description You will support the AI project teams, especially the forecasting delivery unit, to implement and improve the data processing & machine learning pipelines across projects. You will be the backbone for our Data Scientists, and work closely with team members and internal customers in Deutsche Telekom Group across Europe to optimize our data solutions and infrastructures. You will evolve, harmonize, and refactor the existing solutions across projects. You will validate and implement business changes in the code repository and ensure its standardization. You will have the opportunity to work with a variety of tools and technologies like Python, Docker, Kubernetes & Helm chart. You will develop and maintain applications in our server / cloud environment. You will assist data scientists with productization of prototype applications – e.g., logging, monitoring, testing. You will write documentation and guidelines. You will automate processes for ETL. You will identify, design, and implement internal process improvements: e.g., automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability. You will participate in designing data architecture for various innovative prototypes and applications. You will create data tools for analytics and data scientist team members. Requirements/ Skills You have working experience in IT – e.g., software development, automation, Dev Ops, data science – with good understanding of time series forecasting and its scalability. You are good at coding in Python. You prefer Linux to Windows. Experience with at least one of the major cloud service providers. You have experience working on a fully automated CI / CD pipeline. You have SQL knowledge and experience working with relational databases. You follow current trends in IT. You can develop working solutions quickly and you get things done. You are an analytical thinker, have an affinity for structure, grasp things rapid and work systematically. You are a team player,



open for international environment and can travel occasionally to Europe. Agile mindset, communication skills and willingness to active participation in team discussions. You are not afraid to ask questions when something is not clear or point out when something seems inefficient to you. Additional Information Please Note: Fraudulent job postings/job scams are increasingly common. Beware of misleading advertisements and fraudulent communication issuing 'offer letters' on behalf of T-Systems in exchange for a fee. Please look for an authentic T-Systems email id - . Stay vigilant. Protect yourself from recruitment fraud! To know more please visit: Fraud Alert

Your Task

This position involves supporting AI project teams, especially the forecasting delivery unit, to implement and improve data processing and machine learning pipelines across projects. You will serve as the backbone for Data Scientists and work closely with team members and internal customers in Deutsche Telekom Group across Europe to optimize data solutions and infrastructures. This is an international role that requires occasional travel to Europe.

Responsibilities

- Support the AI project teams, especially the forecasting delivery unit, to implement and improve the data processing and machine learning pipelines across projects
- Work closely with team members and internal customers in Deutsche Telekom Group across Europe to optimize data solutions and infrastructures
- Evolve, harmonize, and refactor the existing solutions across projects




- Validate and implement business changes in the code repository and ensure its standardization
- Work with a variety of tools and technologies like Python, Docker, Kubernetes and Helm chart
- Develop and maintain applications in server/cloud environment
- Assist data scientists with 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

Your Profile

We are looking for an experienced Data Engineer / MLOps Engineer with strong technical skills in Python development, cloud technologies, containerization, and time series forecasting, along with excellent problem-solving abilities and team collaboration skills.

Must Have Skills

- Working experience in IT (software development, automation, Dev Ops, or data science)
- Good understanding of time series forecasting and its scalability
- Strong coding skills in Python
- 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 working with relational databases
- Ability to follow current trends in IT
- Ability to develop working solutions quickly and get things done
- Analytical thinking skills
- Affinity for structure
- Ability to grasp things fast and work systematically
- Team player with openness for international environment
- Ability to travel occasionally to Europe
- Agile mindset
- Strong communication skills
- Willingness to actively participate in team discussions
- Comfortable asking questions when something is not clear
- Ability to point out inefficiencies

📌 MLOps Engineer (m/f/d) (India)
🏢 T Systems
📍 India