Overview
We are seeking a highly senior AI professional with deep expertise in Machine Learning, Large Language Models (LLMs), and Agentic AI systems, who can lead the AI technical team end-to-end. This role is ideal for a seasoned Data Scientist / AI Architect who has hands-on experience building, scaling, and deploying advanced AI solutions and has worked extensively with IBM Watson along with other modern AI frameworks.
Responsibilities
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Lead the design, development, and deployment of advanced ML, NLP, and GenAI solutions.
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Architect and implement LLM-based and Agentic AI systems for real-world enterprise use cases.
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Provide technical leadership and mentorship to AI/ML engineers and data scientists.
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Drive model experimentation, evaluation, optimization, and productionization.
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Collaborate with product, engineering, and business teams to translate problems into AI solutions.
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Stay current with emerging AI research and apply it to business innovation.
Requirements
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Strong foundation in Machine Learning & Statistics (supervised, unsupervised, deep learning).
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Extensive experience with NLP, Generative AI, and Large Language Models (LLMs).
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Proven hands-on experience working with AI frameworks, IBM Watson experience will be an added advantage.
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Experience with Agentic AI frameworks, orchestration, and multi-agent systems.
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Proficiency in Python and ML/DL frameworks such as TensorFlow, PyTorch, Scikit-learn.
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Experience with LLM frameworks like LangChain, LlamaIndex, Hugging Face, or similar.
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Strong understanding of model deployment, MLOps, and cloud-based AI solutions.
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Experience working with Azure, AWS, or GCP AI/ML services is a plus.