Sr. Expert

1 week ago

Kandivali East, India Mahindra Rise Full time

Company:

Mahindra & Mahindra Ltd 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+ yearsQualifications BE/ME/PHDFunctional 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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