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Bengaluru

    Consultant / Assistant Manager - Cloud Gen AI DevOps Engineer - Bengaluru, India - KPMG India

    KPMG India
    KPMG India Bengaluru, India

    Found in: Talent IN 2A C2 - 4 days ago

    KPMG India background
    Accounting / Finance
    Description

    KPMG Global Services (KGS) India is a strategic global delivery organization that works with more than 50 KPMG firms to provide a progressive, scalable and customized approach to business requirements.

    The KGS India journey has been one of consistent growth, with a current employee count of c.21,000, operating from eight locations in India — Bengaluru, Gurugram, Hyderabad, Mumbai, Kochi, Noida, Pune and Kolkata. — and providing a range of Advisory and Tax-related services to KPMG firms around the world.

    Location: Bangalore

    Key Areas and Responsibilities

    "CIO Advisory Service Networks are aimed at building capabilities that are directly related to the CIO and managing/transforming the IT function."

    Job Summary

    Within KPMG's Technology service line, the Infrastructure Engineering team's mission is to be the best Infrastructure team ever, by using the right tools for the right job, failing fast and automating like our lives depend on it. Right from the leadership level, our team are fully committed to the DevOps culture and are consistently trying to change to ensure that culture is nurtured and grows.

    We operate at genuine scale taking advantage of our alliance partnerships with the industry leading public cloud providers to deliver cutting edge solutions to clients on a global stage. If the public cloud is your future and you're amazing at solving difficult, interesting and complex challenges and actually writing code, roll up your sleeves then drop us a line and remember to bring cake.

    You will be working to continuously advance and standardise our client's infrastructure and pipelined deployments, whilst collaborating with colleagues to write infrastructure as code that scales and takes advantage of the technologies available in the market.

    Key Areas and Responsibilities:

    As a Gen AI DevOps Engineer, you will:

    1. Collaborate with cross-functional teams to define AI project requirements and objectives, ensuring alignment with overall business goals.
    2. Evaluate new AI model architectures, fine-tuning methods, and deployment strategies.
    3. Optimize existing generative AI models for improved performance, scalability, and efficiency.
    4. Design and implement automation tools and frameworks for continuous integration, delivery, and deployment.
    5. Conduct research and development processes for AI strategies.
    6. Monitor and manage infrastructure, ensuring optimal performance, security, and scalability.
    7. Implement and maintain version control systems, configuration management tools, and other DevOps-related technologies.
    8. Ensure compliance with industry best practices and organizational policies.
    9. Develop and maintain a platform that automates creating, training, deploying, and updating machine learning models.

    Qualification

    Completed undergraduate degree with outstanding academic credentials (preferably a technical undergrad degree e.g. Computer Science, Engineering)

    Desired Skills and Experience

    • 4 to 8 years of experience in Gen AI and DevOps
    • in at least one of major CSP such as Azure, AWS or GCP.
    • in at least one programming language (e.g. Python, Java, Apache Spark, Ruby, or Scala).
    • with deploying containerized applications and orchestrating them using Docker and Kubernetes.
    • minimum of two years' experience in formulating and strategizing AI solutions.
    • with machine learning and NLP and Large Language Models (LLM) processing techniques, and tools.
    • understanding of infrastructure as code principles and tools and comprehensive working experience with Azure DevOps/Jenkins, Git, or similar CI/CD platforms.
    • developing and implementing generative AI models, with a strong understanding of deep learning techniques such as GPT, VAE, and GANs.
    • building and maintaining scalable API solutions.
    • with DevOps practices and must have an experience of working in agile projects.
    • communication & interpersonal skills, effective problem-solving skills and logical thinking ability and strong commitment to professional and client service excellence
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