AI/ML Engineer with German language proficiency

Hello Visionary!

We empower our people to stay resilient and relevant in a constantly evolving world. We're looking for people who are always searching for creative ways to grow and learn. People who want to make a real impact, now and in the future.

Does that sound like you? Then it seems like you'd make a great addition to our vibrant team.

We are looking for AI/ML Engineer with German language proficiency.

Before our software developers write even a single line of code, they have to understand what drives our customers. What is the environment? What is the user story based on? Implementation means - trying, testing, and improving outcomes until a final solution emerges. Knowledge means exchange - discussions with colleagues from all over the world.

You'll make a difference by:

Developing and delivering parts of a product, in accordance to the customers' requirements and organizational quality norms. Activities to be performed include:

• German language proficiency

• Requirement analysis and design of software solutions based on requirements and architectural /design guidelines.

• Implementation of features and/or bug-fixing and delivering solutions in accordance with coding guidelines and on-time with high quality.

• Identification and implementation of unit and integration tests to ensure solution addresses customer requirements, and quality and security requirements of product are met.

• Performing code review and creation / support for relevant documentation (requirement/design/test specification).

• Ensuring integration and submission of solution into software configuration management system, within committed delivery timelines.

Performing regular technical coordination / review with stake holders and ensuring timely reporting and escalations if any.

Job requirements/ skills:

• Translate ambiguous business problems into analytical/ML approaches; define success metrics and experiment design (A/B, DoE).

• Explore & prepare data: profiling, feature engineering, handling bias/leakage, data quality checks.

• Build and validate models (supervised/unsupervised/time series/NLP/CV as relevant); compare baselines and SOTA methods.

• Ship insights and/or models: dashboards, notebooks, or production endpoints with proper monitoring.

• Communicate results clearly to technical and non-technical stakeholders, document assumptions and limitations.

• Contribute to data governance and reusable tooling (feature stores, evaluation frameworks).

Required qualifications

• 4-7 years (or strong internships) in data science/analytics/ML.

• Proficiency in Python (pandas, NumPy, scikit-learn); SQL fluency for large datasets.

• Solid statistics/experimental design (hypothesis testing, causal inference basics, confidence intervals).

• Experience building and validating models end-to-end; familiarity with model evaluation and error analysis.

• Strong storytelling: ability to translate findings into business recommendations.

Nice to have

• Experience with one of: NLP (spaCy, Hugging Face), CV (OpenCV, TorchVision), Recommenders, Time Series (Prophet, statsmodels).

• Familiarity with ML in production (FastAPI/Flask, model registries, feature stores).

• Cloud & data stack: AWS/GCP/Azure, Spark, dbt, Airflow; BI (Power BI/Tableau/Looker).

• Version control & workflows: git, CI/CD, experiment tracking (MLflow/Weights & Biases).

Create a better #TomorrowWithUs!

This role is in Bangalore, where you'll get the chance to work with teams impacting entire cities, countries - and the craft of things to come.

We value your unique identity and perspective and are fully committed to providing equitable opportunities and building a workplace that reflects the diversity of society. Come bring your authentic self and create a better tomorrow with us.

We're Siemens. A collection of over 312,000 minds building the future, one day at a time in over 200 countries. We're dedicated to equality, and we encourage applications that reflect the diversity of the communities we work in. All employment decisions at Siemens are based on qualifications, merit and business need. Bring your curiosity and creativity and help us craft tomorrow.

At Siemens, we are always challenging ourselves to build a better future. We need the most innovative and diverse Digital Minds to develop tomorrow 's reality. Find out more about the Digital world of Siemens here: www.siemens.com/careers/digitalminds (http://www.siemens.com/careers/digitalminds)