- Hands-on experience in designing, developing and deploying AI/ML/NLP/GenAI/Agentic AI solutions (involving modeling, benchmarking and inferencing) at enterprise scale for e-commerce. - Hands-on experience in building, evaluating and deploying AI solutions leveraging LLMs, vector DBs, RAG, Agentic frameworks (such as LangChain, HayStack, Semantic Kernel). - Strong programming skills in Python (experience with PyTorch, TensorFlow, scikit-learn, etc.) and Solid understanding of ML algorithms, NLP, computer vision, finetuning LLMs. - Stay updated on advancements in AI/ML, LLMs, and agentic frameworks to propose innovative modular/reusable solutions/approaches/pipelines to enable the Platforms & Innovation Lab pillar. - Collaborate with architects, data engineers, AI engineers, product and business teams to translate business requirements into fully operational AI solutions. - Analyzing large volumes data and establishing AI/ML/NLP and Generative AI based automation workflows to enable cross functional business teams with real-time actionable intelligence. - Building modular, reliable, scalable python-based pipelines on Databricks and Azure with attention to security, cost, and data sensitivity. - Developing/implementing algorithms and maintaining systems that deals with streaming big data for AI/ML based actionable insights. - Drive all phases of software development including design, prototyping, and incremental production release adhering to industry best DevOps, MLOps, LLMOps practices. - Designing and implementing highly reliable, fault-tolerant distributed ML applications with focus on ML Operations and CI/CD. - Implement responsible AI practices and templates, focusing model explainability, fairness, Human-In-The-Loop validation, compliance and governance. - ### Requirements | | Basic Qualifications |
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• Bachelor’s degree in computer science, machine intelligence
  

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• Solid hands-on experience in ML training/inferencing pipelines
  

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• Strong programming skills (Python, PyTorch/TensorFlow, scikit-learn).
  

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• Knowledge of Machine Learning algorithms, NLP, Deep Learning, LLMs.
  

• Experience with data pipelines, model training, and deployment.
  

• Familiarity with Databricks and one cloud platforms (AWS, Azure, GCP).
  

• Ability to work both independently and as part of a collaborative team
  

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• Masters in the field computer science, machine intelligence
  

• Hands-on experience in designing, developing and deploying AI/ML/NLP/GenAI/Agentic AI solutions (involving modeling, benchmarking, inferencing) at enterprise scale for e-commerce.
  

• Hands-on experience in building, evaluating and deploying AI solutions leveraging LLMs, vector DBs, RAG, Agentic frameworks (such as LangChain, HayStack, Semantic Kernel).
  

• Strong programming skills in Python (experience with PyTorch, TensorFlow, scikit-learn, etc.) and Solid understanding of ML algorithms, NLP, computer vision, finetuning LLMs.
  

• Experience with agentic frameworks (LangChain, Semantic Kernel, Haystack).
  

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• Expertise in vector databases (FAISS, Pinecone, Weaviate) and

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