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Specialist IT -AI Engineer

AT Eaton
Eaton

Specialist IT -AI Engineer

Pune, India

Job Summary

We are looking for a Specialist IT- AI Engineer with deep knowledge of machine learning algorithms and Azure AI technologies, including Azure Open AI. The ideal candidate will have experience in MLOps, LLM Ops, model evaluation, and Retrieval Augmented Generation, with strong programming skills in Python (C# and .NET are a plus). Familiarity with models like LAMA and Mistral is required. This role will also be leading AI solution design and implementation, managing the lifecycle of large language models, and optimizing model performance and prompts. The role involves collaborating with senior IT and business leaders, enterprise architects, and Cyber Security teams. Strong problem-solving abilities, attention to detail, and excellent communication skills are essential.

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Job Responsibilities :

• 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.
• 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 /Higher Degree with 15+Years of experience,10+Years of relevant exp with expertise in machine learning algorithms and Azure AI technologies, including Azure Open AI, MLOps, LLM Ops, model evaluation techniques, and Retrieval Augmented Generation.

Skills:

• Strong knowledge of machine learning algorithms and principles.
• 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.

Client-provided location(s): Pune, Maharashtra, India
Job ID: Eaton-33048Pune
Employment Type: Other

Perks and Benefits

  • Health and Wellness

    • Health Insurance
    • Health Reimbursement Account
    • Dental Insurance
    • Vision Insurance
    • Life Insurance
    • Short-Term Disability
    • Long-Term Disability
    • FSA
    • HSA With Employer Contribution
    • Fitness Subsidies
    • On-Site Gym
    • Pet Insurance
    • Mental Health Benefits
    • Virtual Fitness Classes
  • Parental Benefits

    • Birth Parent or Maternity Leave
    • Adoption Assistance Program
  • Work Flexibility

    • Flexible Work Hours
    • Remote Work Opportunities
    • Hybrid Work Opportunities
  • Office Life and Perks

    • Casual Dress
    • On-Site Cafeteria
  • Vacation and Time Off

    • Paid Vacation
    • Paid Holidays
    • Personal/Sick Days
    • Leave of Absence
    • Summer Fridays
  • Financial and Retirement

    • 401(K) With Company Matching
    • Performance Bonus
    • Relocation Assistance
    • Financial Counseling
  • Professional Development

    • Tuition Reimbursement
    • Promote From Within
    • Mentor Program
    • Shadowing Opportunities
    • Access to Online Courses
    • Internship Program
    • Work Visa Sponsorship
    • Leadership Training Program
    • Associate or Rotational Training Program
  • Diversity and Inclusion

    • Diversity, Equity, and Inclusion Program
    • Employee Resource Groups (ERG)