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    AI/ML Architect - bangalore, India - Whitefield Careers

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    permanent Technology / Internet
    Description

    About the job :

    Position :
    AI/ML Architect(Responsible AI)

    Exp : 6-8 Years


    Educational Qualification :
    Bachelor's/Master's degree in computer science or a related field

    Mandatory Requirement :
    Passionate about Privacy & Responsible AI


    Requirements :

    • Bachelor's degree or higher in an engineering field (e.g.
    Computer Science) with at least 6 to 8 years of relevant experience building highly scalable distributed systems.

    • Proficient in programming languages like Python or C++.
    • An understanding of data structures, data modeling, and software architecture.
    • Deep understanding of AI, machine learning algorithms, and Gen AI applications, and AI/ML architecture with large scale scalable solutions.
    • Should have experience with Statistical Modeling and Language Modeling like transformer based architecture, LSTM, Neural Network, Model Ensembling.
    • Relevant experience of working with data engineers and understanding of datastores to accomplish the data requirements for the AI/ML project.
    • Good understanding of MLOps, LLMOps, Model Version Control, and Data Version Control.
    • Should have handson experience in system design and microservice architecture.
    • Specializes in at least one of the AI/ML stack, Frameworks, and tools like Pytorch and TensorFlow.
    • Experience with a public cloud (AWS, Microsoft Azure, Google Cloud) and onpremise setup.
    • Relevant experience that showcases practical understanding of LLMs, Prompting, Fine tuning, Vector DBs, Knowledge graph, Architectural Design for Information Retrieval using RAG.
    • Experience in delivering AI/ML in customer environments.
    • Excellent problemsolving skills and the ability to think strategically and analytically.
    Ability to work in a fast-paced, dynamic environment and manage multiple products simultaneously.

    • Strong leadership and communication skills to effectively collaborate with various teams.

    Responsibility :

    • ML architect is responsible for designing endtoend machine learning solutions that meets privacy & responsible AI business opportunities.
    • Handson experience in MLOps/ LLMOps including data collection, data preparation, model training/ refinement, model validation, drift management and model serving.
    • Deal with the dynamic work culture, scoping and sequencing the complex problems into smaller critical experiments/tasks to drive the desired outcomes.
    • Collaborate with crossfunctional teams to define project goals, research requirements, and develop innovative solutions.
    • Write efficient and maintainable code in languages most suited to the AI/ML tasks.
    • Defines best practices and architecture with deep domain knowledge.
    • Constantly evolve the platform to identify bottlenecks in both runtime and development time aspects of the platform and improve them.
    • Deploy ML models to production, design evaluation, monitoring plans and monitor AI/ML models in production for performance and drift.
    • Work in evaluating, building and fine tuning different ML models, and LLMs to solve the problem.
    • Work with broader teams of developers and architects to integrate the AI capabilities for solving the end customer problems in a secure and compliant way.
    • Practice domaincompliant, secure, and responsible AI.
    • Mentor team members and enable technical decisionmaking.
    • Collaborate with product managers, customers, and other stakeholders.
    • Help design and implement functional and nonfunctional requirements
    )

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