Sr. Expert

6 days ago

Mumbai, Maharashtra, India Mahindra & Mahindra Full time ₹ 12,00,000 - ₹ 36,00,000 per year

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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