AI Expert (RAG Models & Vertex AI)

Department Icon Data Science Analytics & Machine Learning
149+ Applicants
Posted: 1 year ago
5-7 years
Gurugram, Haryana
Work from Office

Posted: 1 year ago
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Applicants: 149+
Job Description
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Job Description

Job Title: AI Expert (RAG Models & Vertex AI)

Experience: 5+ Years

Location: Remote

Job Summary:

We are seeking a highly skilled and experienced AI Expert with over 5+ years of experience in end-to-end AI model development. The ideal candidate will have deep expertise in Retrieval-Augmented Generation (RAG) models, hands-on experience with Vertex AI, and a strong background in MLOps and model deployment. The role demands a professional who can take AI projects from concept to production deployment, ensuring robust, scalable, and efficient solutions.

Key Responsibilities:

  • Lead the end-to-end development of AI models, from defining the scope of work to deployment and monitoring.
  • Design, develop, and implement advanced RAG (Retrieval-Augmented Generation) models for diverse use cases.
  • Leverage Vertex AI for scalable and efficient model training, deployment, and monitoring.
  • Establish and maintain robust MLOps pipelines for continuous integration and delivery (CI/CD) of AI models.
  • Collaborate with data engineers, product managers, and other stakeholders to deliver AI solutions aligned with business goals.
  • Optimize AI models for performance, scalability, and reliability in production environments.
  • Monitor deployed models for accuracy, drift, and performance, and implement updates as needed.
  • Provide technical mentorship and guidance to junior team members.
  • Document processes, models, and architectures thoroughly for knowledge sharing and future reference.

Key Requirements:

  • 5+ years of hands-on experience in end-to-end AI model development.
  • Proven expertise in building and deploying RAG (Retrieval-Augmented Generation) models.
  • Deep experience with Google Vertex AI

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    for training, deploying, and managing AI models.
  • Strong understanding of MLOps principles and tools for automated deployment and monitoring.
  • Proficiency in Python and frameworks like TensorFlow, PyTorch, or similar.
  • Experience with cloud environments (GCP preferred).
  • Strong understanding of data engineering concepts and experience in working with large datasets.
  • Excellent problem-solving skills and the ability to troubleshoot complex AI/ML issues.
  • Strong communication skills and ability to work effectively in a UK shift.
  • Nice to Have:

    • Experience in building and deploying conversational AI solutions.
    • Familiarity with API development and integration for AI services.
    • Knowledge of data privacy and compliance best practices in AI solutions.

    Skills

    PythonData PrivacyAi/mlAiMl

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    Important dates & deadlines?

    Application Deadline

    07 Jun 25, 12:22 PM IST

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