Data Scientist (Pune Division)

Data Scientist (Pune Division)

13 Aug
|
MAHLE Senica
|
Pune Division

13 Aug

MAHLE Senica

Pune Division

04_Professionals (technical)

Services

Together, we move the world—we’ve been doing it for over 100 years. At MAHLE, as a leading international development partner and systems supplier to the automotive industry, we pursue the objective of making mobility more efficient, more environmentally friendly, more convenient, and more economical. As part of our dual strategy, we are working both on the intelligent combustion engine for the use of hydrogen and other nonfossil fuels and on technologies for fuel cells and e-mobility.

MAHLE generated sales of €11.3 billion in 2025. Employing just under 65,000 people at 127 production locations and 11 technology centers, the company is represented in 28 countries. (as at: 12/31/2025). Join our MAHLE team #weshapefuturemobility

Job Title: Data Scientist

(Position 3-Open)

Department:
CIBD3

Reports To:
Manish Kaurava -SDM Data Science and Analytics

Job Location
: IN/PL/SB

Data Scientist – Role Overview
We are seeking a highly skilled
Data Scientist
with robust expertise in
Machine Learning services, Recommender Systems (RS),



and Generative AI (LLM & LVM)
. The role will collaborate closely with
Data Engineering, Data Science, and ML Engineering teams
to design, develop, deploy, and scale intelligent data products and AI solutions.

Key Responsibilities
- Data Science & Advanced Analytics
- Develop and deploy end-to-end machine learning models from ideation to production.
- Perform exploratory data analysis (EDA), feature engineering, and model evaluation.
- Build predictive and prescriptive models using statistical and ML techniques.
- Machine Learning Services (Primary Focus)
- Design and implement scalable ML pipelines for training, testing, and deployment.
- Work with ML platforms such as:
- Azure ML, AWS SageMaker, GCP Vertex AI
- Implement model lifecycle management including versioning, monitoring, and retraining.
- Optimize models for performance, scalability, and reliability.
- Recommender Systems (RS)
- Design and

📌 Data Scientist (Pune Division)
🏢 MAHLE Senica
📍 Pune Division

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