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    Generative AI Technical Lead - Hyderabad, India - HCLTech

    HCLTech
    HCLTech background
    Accounting / Finance
    Description

    Generative AI Technical Lead (Preferred Azure)

    Job location: Hyderabad, Noida, Bangalore, Chennai

    Total Experience: 10+ Years

    Relevant Experience: 3+ Years

    Responsibilities:

    • Architect end-to-end generative AI solutions on Microsoft Azure platform, including data ingestion, model training, deployment, and monitoring.
    • Collaborate with data scientists, engineers, and business stakeholders to understand requirements and translate them into technical specifications.
    • Design and implement scalable and efficient AI pipelines utilizing Azure Machine Learning, Azure Databricks, Azure Cognitive Services, and other relevant Azure services.
    • Explore and evaluate new AI technologies, frameworks, and methodologies to enhance existing solutions and drive innovation.
    • Mentor other Gen AI resources on technical solution and deliverables.
    • Front end customer interactions for design and architecture of Generative AI solutions and lead the solution delivery,
    • Develop and maintain best practices, standards, and guidelines for generative AI architecture on Azure.
    • Provide technical leadership and mentorship to junior team members, fostering a culture of continuous learning and growth.
    • Stay updated with the latest advancements in AI, machine learning, and cloud computing, and contribute to thought leadership within the organization.

    Qualifications:

    • Bachelor's or master's degree in computer science, Engineering, or related field.
    • Proven experience architecting and implementing generative AI solutions on Microsoft Azure platform.
    • Deep understanding of machine learning algorithms, deep learning frameworks, and natural language processing techniques.
    • Strong knowledge and experience (preferable) in Microsoft OpenAI platform
    • Strong knowledge and experience (preferable) in NLP, GPT, LLM on Microsoft platform
    • Proficiency in programming languages such as Python, R, or Scala, with experience in building and deploying AI models.

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