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6 Days ago

Lead AI Engineer - Data Science

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Gurugram, Haryana, India
Information Technology
Full-Time
Eaton

Overview

What You’ll Do

  • Implement and maintain the infrastructure needed for end-to-end machine learning workflows including data collection, model training, and deployment in production environments.
  • Manage the lifecycle of large language models including training, evaluation, deployment, and monitoring of these models.
  • Evaluate the performance of various machine learning models using appropriate metrics and statistical tests. Make recommendations on which models to use based on their performance.
  • Fine-tune and enhance existing Retrieval Augmented Generation (RAG) and LLM models to improve their performance and adaptability.
  • Design and optimize prompts to effectively guide the behavior of language models. Understand and manage the flow of prompts in a conversation or task(Prompt Engineering)
  • Provide guidelines and strategies for improving the accuracy of machine learning models.
  • Advise on how to optimize token usage to save costs and improve performance including strategies for efficient data preprocessing, model architecture design, and deployment.
  • Leverage Azure AI technologies for developing, deploying, and managing AI solutions with Azure Machine Learning and Cognitive Services.
  • Have knowledge and experience in deploying models and applications in cloud environments, particularly Azure.


Qualifications

  • Bachelor’s degree in computer science, Data Science, or a related field. Advanced degree preferred.
  • Overall 10+ Years of experience with 5 to 7 years of proven experience as an AI Engineer or similar role.


Skills

  • Strong knowledge of machine learning algorithms and principles and Prompt engineering.
  • Proficiency with Azure AI technologies including Azure Open AI
  • Experience with MLOps, LLM Ops, model evaluation techniques, and Retrieval Augmented Generation.
  • Strong programming skills, preferably in Python , experience with C# and .NET is a plus.
  • Familiarity with models like LAMA , Mistral etc.
  • Excellent problem-solving abilities and attention to detail.
  • Strong communication skills and the ability to explain complex concepts to non-technical stakeholders.


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