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Mahindra Mahindra Limited.
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Sr. Expert - Data Science

Sr. Expert - Data Science

Mahindra Mahindra Limited.

12 - 17 years

40 - 45 Lacs

mumbai

Posted:18 hours ago| Platform:

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Skills Required

supply chain automation postgresql mysql machine learning manager quality control open source sql python data architecture

Work Mode

Work from Office

Job Type

Full Time

Job Description

Role & responsibilities

Visionary AI leader to spearhead enterprise-wide Artificial Intelligence across Mahindra Group Companies. As the Senior Expert Data Science/AI, you will be responsible for defining strategy, architecting scalable platforms, and delivering intelligent solutions powered by Machine Learning (ML), Generative AI, and Data-driven systems.

Define and execute enterprise-wide AI and automation strategy.
Architect and deliver AI platforms leveraging LLMs, SLMs, RAG, and vector databases. Lead end-to-end AI lifecycle: research, prototyping, PoC, and enterprise deployment. Build and optimize scalable data pipelines,Models, APIs, and automation workflows on cloud platforms. Drive adoption of GenAI frameworks such as LangChain, LlamaIndex, Hugging Face, and OpenAI APIs. Ensure adherence to responsible AI practices, governance, and ethics. Mentor, grow, and lead high-performing AI/Automation teams across the organization.

Experience

12+ years

Qualifications

BE/ME/PHD

Functional skills required to execute the role

AI/ML Expertise: Hands-on with ML models, Deep Learning, Generative AI, and Multimodal AI.
Frameworks & Tools: LangChain, LlamaIndex, Hugging Face, PyTorch, TensorFlow, OpenAI APIs, Vector DBs (FAISS, Pinecone, OpenSearch). Data & Architecture: Strong expertise in data engineering, API design, and cloud-native architectures. Cloud Platforms: AWS, GCP, Azure (BigQuery,Glue,EMR,SageMaker, Vertex AI, Azure ML,s3,Dataflow etc). Leadership: Proven record in leading AI initiatives, scaling teams, and aligning AI to business outcomes. ML Models: Proficiency in Regression, Classification (Tree-based, XGBoost, LightGBM, CatBoost), Clustering (K-Means, DBSCAN), Dimensionality Reduction (PCA, UMAP), CNNs (vision), RNNs/LSTMs & Transformers (NLP & time-series), Forecasting (ARIMA, Prophet, DeepAR). Programming & Databases: Expert in Python, SQL and knowledge of SQL/NoSQL databases(PostgreSQL , MongoDB , mySQL , ES , Redshift). MLOps & DevOps: Experience with Docker, Kubernetes, GitHub, AutoML, and ML pipelines. Knowledge of open source tools and technology

Good to Have
Experience working with Manufacturing AI use cases (e.g., predictive maintenance, computer vision, quality control, supply chain optimization). Knowledge of Chatbot development, conversational AI, or enterprise chatbot frameworks.

Behavioural Competencies required

Analytical Thinking & Problem-Solving
Adaptability & Continuous Learning
Collaboration & Teamwork
Innovation & Experimentation
Accountability & Ownership

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Sr. Expert - Data Science