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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