Offer summary

Qualifications:

Minimum 8 years of experience in building language models and AI solutions., Proficiency in Azure Cognitive Services, Python, NLP, and Generative AI., Hands-on expertise with large language models like LLMs, BERT, and GPT., Strong background in data collection, preprocessing, and machine learning algorithms..

Key responsibilities:

Lead the development and customization of generative AI models.

Implement and fine-tune large language models using Azure and OpenAI tools.

Collaborate with teams to develop AI solutions and prototypes.

Stay updated with advancements in generative AI and incorporate best practices.

Job description

JD for Generative AI Lead Architect

Mandatory Skill: Azure Cognitive services (AI, ML, LLM, algorithm), Python, NLP, Generative

Good to have: Open AI (Chat GPT, GPT, Chat bot)

Total Experience 8+ years with hands on experience with building language models, machine learning and Al models leveraging industry tools, products, and Azure cognitive services.

Deep and handson expertise in (as an individual contributor) Undertaking data collection, Data mining, preprocessing and analysis of structured and unstructured data.

Handson expertise in large language models (LLMsLSTMsBERT) that can perform complex reasoning in few and zeroshot settings by generating intermediate chain of thought (CoT) reasoning steps e.g.

Experience of building customizing and finetuning Al models including LLM models via OpenAl studio extended through AzureOpenAl cognitive services for rapid PoCs

Programming Skills knowledge of statistical programming languages like R,

Python, and database query languages like SQL, Hive, Pig is desirable. Familiarity with Scala, Java, or C++ is an added advantage.

Deep and handson experience in applying machine learning algorithms.

Strong data science and data engineering background both with open source and cloud distributed machines learning and Al tools especially Azure Cognitive

Services and Azure Machine Learning

Required profile