Job Description
Job_Description":"
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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.
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Hands-on experience in building, evaluating and deploying AI solutions leveraging LLMs, vector DBs, RAG , Agentic frameworks (such as LangChain , HayStack , Semantic Kernel).
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Strong programming skills in Python (experience with PyTorch , TensorFlow, scikit-learn, etc.) and Solid understanding of ML algorithms, NLP, computer vision, finetuning LLMs .
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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.
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Collaborate with architects, data engineers, AI engineers, product and business teams to translate business requirements into fully operational AI solutions.
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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.
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Building modular, reliable, scalable python-based pipelines on Databricks and Azure with attention to security, cost, and data sensitivity.
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D eveloping/implementing algorithms and maintaining systems that deals with streaming big data for AI/ML based actionable insights.
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Drive all phases of software development including design, prototyping, and incremental production release adhering to industry best DevOps, MLOps , LLMOps practices.
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Designing and implementing highly reliable , fault-tolerant distributed ML applications with focus on ML Operations and CI/CD.
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Implement responsible AI practices and templates, focusing model explainability, fairness, Human-In-The-Loop validation, compliance and governance.
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Requirements
Basic Qualifications
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Bachelor 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 .
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Experience with data pipelines, model training, and deployment .
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Familiarity with Databricks and one cloud platforms (AWS, Azure, GCP).
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Ability to work both independently and as part of a collaborative team
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