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    Manager - Artificial Intelligence/Machine Learning - bangalore, India - TOTLRPO

    TOTLRPO
    TOTLRPO bangalore, India

    2 weeks ago

    Default job background
    permanent Technology / Internet
    Description

    Job Description :

    ML Maturity Assessment :

    • Conduct comprehensive assessments of the organization's ML maturity, identifying strengths, weaknesses, and areas for improvement.
    • Provide strategic recommendations to enhance the overall ML capability and align it with business objectives.

    ML Ops Roadmap & Processes :

    • Develop ML Ops roadmaps and establish robust processes for the end-to-end machine learning lifecycle, including data preparation, model training, deployment, and monitoring.
    • Implement best practices in ML Ops to ensure efficiency, scalability, and reliability of ML systems.

    Implementation of Gen AI Solutions :

    • Lead the design and implementation of state-of-the-art Generative AI solutions, leveraging deep learning frameworks such as TensorFlow and PyTorch.
    • Drive innovation in Gen AI, staying abreast of the latest advancements and incorporating cuttingedge technologies into solutions.

    Incubating and Designing :

    • Proactively identify opportunities for ML and Gen AI applications within the organization.
    • Work closely with crossfunctional teams to incubate and design bespoke ML solutions tailored to business requirements.

    Technical Leadership :

    • Provide technical leadership and mentorship to data scientists, engineers, and other team members.
    • Collaborate with stakeholders to ensure alignment between technical solutions and business objectives.

    Collaboration and Communication :

    • Collaborate with business stakeholders to understand their needs and translate them into ML and Gen AI requirements.
    • Effectively communicate complex technical concepts to nontechnical audiences.

    Experience Required for this role :

    • Bachelor's or advanced degree in Computer Science, Data Science, or a related field.
    - Over 12 years of hands-on experience in machine learning, with a focus on architecting end-to-end solutions.

    - Proven expertise in conducting ML maturity assessments and developing ML Ops roadmaps.

    • Demonstrable handson experience in designing & flawlessly operationalizing the Machine learning system on a cloud and / or an On-Prem platform.
    • Extensive experience in implementing Generative AI solutions , including incubation, design, and deployment.
    - Strong proficiency in deep learning frameworks such as TensorFlow and PyTorch .

    - In-depth knowledge of ML Ops best practices and processes .

    • Excellent problemsolving skills and ability to design scalable and reliable ML architectures.
    • Strong leadership and communication skills, with a track record of leading successful ML initiatives.
    • Experience in Telecom or Hi Tech or Software and platform industry desirable

    Tools & Techniques :

    • TensorFlow, PyTorch, Scikitlearn, Keras
    • NumPy, Pandas
    • Matplotlib, Seaborn
    • TensorFlow Serving, Docker and Kubernetes
    • Good software engineering practices, including code modularization, documentation, and testing.
    • Experience with API , Integration architecture , microservices
    )
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