Job description :

Role & responsibilities :

- Support AI project teams, with a primary focus on the forecasting delivery unit, to implement and enhance data processing and machine learning pipelines across projects.

- Act as a key enabler for Data Scientists, collaborating closely with team members and internal stakeholders across the Deutsche Telekom Group in Europe to optimize data solutions and infrastructure.

- Drive the evolution, harmonization, and refactoring of existing solutions across multiple projects to improve consistency and efficiency.

- Validate and implement business requirements and changes in the code repository while ensuring standardization and adherence to best practices.

- Work with a diverse set of technologies, including :

1. Python, Scikit-learn, Keras, SpaCy

2. Docker, Kubernetes, Flask

3. SAP, Tesseract

4. BI tools such as MicroStrategy, SAP Analytics Cloud (SAC), and Tableau

- Develop and maintain applications in server and cloud-based environments.

- Assist Data Scientists in the productization of prototype applications, including :

1. Logging

2. Monitoring

3. Testing frameworks

- Create and maintain technical documentation and development guidelines.

- Automate ETL (Extract, Transform, Load) processes to improve efficiency and reliability.

- Identify, design, and implement internal process improvements, including:

1. Automation of manual workflows

2. Optimization of data delivery pipelines

3. Redesign of infrastructure for enhanced scalability

- Contribute to the design of data architectures for innovative prototypes and applications.

- Build and maintain data tools and utilities to support analytics and enable Data Science teams to work more effectively.

Preferred candidate profile :

- Possess hands-on experience in IT domains such as software development, automation, DevOps, or data science, with a solid understanding of time series forecasting and scalability.

- Proficient in Python programming with strong coding skills.

- Comfortable working in Linux environments, with a preference over Windows.

- Experienced in working with at least one major cloud service provider (e.g., AWS, Azure, or Google Cloud).

- Have practical experience with fully automated CI/CD pipelines.

- Strong knowledge of SQL and experience working with relational databases.

- Stay up to date with current IT trends and emerging technologies.

- Capable of rapid solution development with a strong focus on delivering results efficiently.

- Possess strong analytical thinking skills, a structured approach to problem-solving, and the ability to quickly grasp new concepts.

- Familiar with and willing to apply Agile methodologies such as Scrum, XP, and Kanban.

- A collaborative team player, comfortable working in an international environment and open to occasional travel within Europe.

- Demonstrate strong communication skills, an agile mindset, and active participation in team discussions.

- Proactively ask questions for clarification and identify inefficiencies, suggesting improvements where necessary.

- Fluent in written and spoken English.

Education : UG : Any Graduate

Key Skills :

- Ci/Cd

- Machine Learning

- Terraform

- Ai Platform

- Python

- Agile Methodologies

- Micro Strategy

- SQL

- Jenkins

- Scalable Data Architectures

- Cloud Platforms

- Docker

- Data Pipeline

- Ansible

- Helm Charts

- API

- Helm

- AWS

- SAP Analytics Cloud

- Kubernetes