Data Scientist

Services

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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 strong 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

1\. 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.

2\. 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.

3\. Recommender Systems (RS)

• *Design and build personalized recommendation engines:**

Collaborative filtering

Content\-based filtering

Hybrid recommendation systems

Work with large\-scale datasets to implement ranking, personalization, and user segmentation.

Evaluate models using metrics like NDCG.

4\. Generative AI (GenAI – LLM \& LVM)

• *Build and deploy LLM\-powered solutions:**

Chatbots, copilots, document intelligence

Implement RAG (Retrieval\-Augmented Generation) architectures.

• *Work with models such as:**

OpenAI, Azure OpenAI, Hugging Face

• *Develop use cases for:**

Text generation, summarization, classification

Image/video understanding (LVM – Large Vision Models)

Optimize prompts and manage prompt engineering workflows.

5\. Collaboration with Data Engineering

Define data requirements and collaborate on data pipeline design.

Ensure data quality, governance, and availability.

• *Work with big data technologies like:**

Spark, Databricks, Hadoop

6\. ML Engineering \& Deployment Support

• *Collaborate with ML Engineers to:**

Deploy models via APIs and microservices

Containerize models (Docker, Kubernetes)

Integrate models into production systems and CI/CD pipelines.

7\. Model Monitoring \& Governance

Monitor model drift, performance degradation, and bias.

Implement logging, alerting, and explainability tools.

• *Ensure Responsible AI practices:**

Fairness, transparency, interpretability

Qualifications \& Experience

Educational Background

B.Tech/B.S./ M.S. in Computer Science, Statistics, Mathematics, or a related field

Professional Experience

5\+ years of experience in Data Science / Machine Learning roles

Proven experience in end\-to\-end ML model development and deployment

Technical Skills

Core Technical Skills

• *Programming:** Python (mandatory), SQL

• *ML Libraries:** Scikit\-learn, TensorFlow, PyTorch

• *Data Processing:** Pandas, NumPy, Spark

ML \& AI Expertise

• *Strong expertise in:**

Supervised \& Unsupervised Learning

Model optimization techniques

Hands\-on experience with ML platforms and services

Recommender Systems

Experience in designing and deploying recommendation engines

Knowledge of ranking algorithms and personalization techniques

Generative AI Skills

• *Experience with:**

LLMs (GPT, Llama, etc.)

Prompt engineering

RAG frameworks (LangChain, LlamaIndex)

Exposure to multimodal AI (LVM) is a strong plus

MLOps \& Deployment

• *Familiarity with:**

CI/CD for ML pipelines

Docker, Kubernetes

Understanding of model monitoring tools

Data Engineering Understanding

• *Strong knowledge of:**

Data pipelines, ETL processes

Data warehousing concepts

Additional Skills \& Preferred Qualifications

Strong communication, stakeholder management, and organizational skills

Self\-motivated, customer\-focused, and detail\-oriented mindset

Experience with Azure ecosystem (Azure ML, Databricks)

Exposure to real\-time data processing

• *Certifications in:** Machine Learning / AI / Cloud

Knowledge of ERP systems (SAP) – strongly preferred

Six Sigma Yellow Belt or Green Belt certification – a plus

ITIL certification – a plus

IN

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• *Facts about the jobEntry level:** Experienced hires

• *Part\- / Full\-time:** Full Time

• *Functional area:** IT

• *Department:** Services

• *Location:**

Pune, IN

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• *Company:** MAHLE Holding (IN)

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Closing date for applications

Don't waste any time, apply while the position is online.

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Your future at MAHLE

As a team player and someone who thinks ahead, you can deploy all your skills with us. In cooperation with colleagues from different countries and areas, you contribute in designing the mobility of the future. When selecting MAHLE, you choose trend\-setting technologies and strategies. Are you interested in working with us and developing efficient and environmentally\-friendly solutions, optimising existing products, and turning innovative ideas into reality? Then MAHLE is the right address for you.

Shape the future with us.

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