Generative Al lead

Remote: 
Full Remote
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Offer summary

Qualifications:

8+ years of experience in AI and machine learning, particularly with Azure Cognitive Services., Proficiency in Python and knowledge of NLP and generative AI techniques., Experience with large language models (LLMs) and statistical programming languages like R and SQL., Strong background in data science and data engineering, especially with cloud-based tools..

Key responsibilities:

  • Lead the development and customization of AI models, including fine-tuning LLMs using Azure OpenAI services.
  • Conduct data collection, mining, preprocessing, and analysis of both structured and unstructured data.
  • Implement machine learning algorithms and ensure effective application in projects.
  • Collaborate with teams to create rapid proof of concepts (PoCs) leveraging generative AI technologies.

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Engeniuspark Technologies LLP
51 - 200 Employees
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Job description

JD for Generative AI Lead / Architect
Mandatory Skill: Azure Cognitive services (AI, ML, LLM, algorithm), Python, NLP, Generative
AI
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.
a.
Deep and hands-on expertise in (as an individual contributor) Undertaking data collection, Data mining, preprocessing and analysis of structured and unstructured data.
b.
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 e.g.
C.
Experience of building / customizing and fine-tuning Al models including LLM models via OpenAl studio extended through AzureOpenAl cognitive services for rapid PoCs
d.
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.
e.
Deep and hands-on experience in applying machine learning algorithms.
f.
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

Experience

Spoken language(s):
English
Check out the description to know which languages are mandatory.

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