Generative AI Practice Leader

Job Title

At least 5+ years of hands-on experience with building language models, machine learning and AI models leveraging industry tools, products, and/or Azure cognitive services.

Deep and hands-on expertise in (as an individual contributor) undertaking data collection, data mining, preprocessing and analysis of structured and unstructured data.

Hands-on expertise in large language models (LLMs/LSTMs/BERT) that can perform complex reasoning in few- and zero-shot settings by generating intermediate chain of thought (CoT) reasoning steps.

Experience of building/customizing and fine-tuning AI models including LLM models via OpenAI (Azure), Bert (AWS) for rapid PoCs.

Experience on LLM Model Governance, LLMSecOps, Hallucination and bias handling.

Deep and hands-on experience in applying machine learning algorithms.

Strong data science and data engineering background both with open source and cloud distributed machines learning and AI tools especially Azure Cognitive Services, Azure Machine Learning and AWS Sagemaker and Bedrocks.

Strong understanding of Azure cloud technology including Cognitive Services viz. Vision, Speech, Language, Decision, Search and GenAI and its implementation.

Proven experience with, and applied knowledge of, at least one scripting language, such as Python, or R.