Engineering Architecture Platform - Bengaluru, India - MNC Group

    MNC Group
    MNC Group Bengaluru, India

    1 week ago

    Default job background
    Description

    Role : Engineering Architecture Platform - Generative AI

    Job Location : Pune/Bangalore

    Generative AI is a relatively new and growing space, as a result, we ask that you share with us a specific AI engineering projects on LLMs that you're proud of in your application. Ideally these projects should show off complex and clever architectures or a systematic evaluation of an LLM's behaviour.

    You might be a good fit if you

    Bring your deep-dive software engineering expertise

    Thrive in a results-driven environment, where flexibility fuels impact

    Be a game-changer, ready to step beyond your designated role

    Love the synergy of pair programming? So do we

    Seize the opportunity to explore machine learning and its real-world applications at scale. Jump in

    A relentless passion to learn more about machine learning and generative AI, bringing your knowledge to shape Citi's future.

    What you'll do within the Tech Strategy team:

    Lead the 0-1 build of multiple AI products

    Design and build high-quality, highly reliable products with user experience at the centre

    Be responsible for engineering innovative, best in class AI platforms for the bank

    Creating firsts in the Generative AI space as part of the team that defines the strategic direction for the bank

    Continually iterate and scale Generative AI products, whilst listening to the needs of the customers (internal)

    Developing automation for application and containerization best practices that can be enforced / validated in CI/CD pipelines, Kubernetes and other platforms

    Prototyping new concepts and open-source technologies at pace for relevance

    Educating the wider community on engineering best practices and platforms developed by the group

    Partnering with central teams to develop IaC modules, CI/CD pipelines with Tekton and other such leading products

    Experience That Will Help You Succeed In This Role

    Deep hands-on knowledge of Kubernetes, developing backend platforms and engineering APIs that scale

    9+ Years of exp. in at least two programming language, with preference for Python and Golang

    Pytorch, TensorFlow experience

    Extensive public cloud experience and should have delivered hybrid architectures spanning private and public cloud/s

    Good applied understanding of DevSecOps

    Familiarity with open source and proprietary tech including Kafka, Hashicorp Vault, Terraform, Postgres, MongoDB, Prometheus and other such is expected

    Understanding of language models and transformers

    Understanding of vector stores and search algorithms

    Large-scale ETL development

    Direct engineering experience of high performance, large-scale ML systems

    Hands on MLOps experience, with an appreciation of the end-to-end CI/CD process

    Have experience supporting fast-paced startup engineering teams

    Have used LangChain and even contributed to the project.

    A well-known contributor to opensource and always thinking out of the box tooling, using and standardizing with methods of creating APIs , ML/Ops automation and more.