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    DET-Technical Manager-ML Architecture in Azure-AWS-GDSN02 - Bengaluru, India - EY

    EY
    EY Bengaluru, India

    Found in: beBee S2 IN - 3 days ago

    EY background
    Description

    At EY, you'll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we're counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all.

    Technical Manager ML Architecture in Azure-AWS - Manager

    EY GDS Consulting digital engineering, is seeking an experienced Technical Manager ML Architecture in Azure/AWS to join our Emerging Technologies team in DET, GDS. This role presents an exciting opportunity to contribute to innovative projects and be a key player in shaping our technological advancements.

    The opportunity

    We are looking for an experienced Technical Manager specializing in ML Architecture on Azure/AWS to join our innovative team. This role offers an exciting opportunity for seasoned professionals with 9-13 years of experience to lead ML architecture projects, drive technical excellence, and contribute to cutting-edge solutions in cloud environments.

    Your key responsibilities

    • Lead the design, development, and implementation of ML architecture solutions on Azure/AWS cloud platforms.
    • Define and implement best practices for ML model development, deployment, and monitoring, ensuring scalability, reliability, and security.
    • Collaborate with data scientists, engineers, and stakeholders to understand business requirements, design ML solutions, and drive project delivery.
    • Manage ML pipelines, data preprocessing, feature engineering, and model training processes, optimizing for performance and efficiency.
    • Architect and optimize cloud infrastructure for ML workloads, leveraging Azure/AWS services such as Azure ML, AWS SageMaker, and related technologies.
    • Provide technical leadership, mentorship, and guidance to ML engineers, data scientists, and cross-functional teams.
    • Conduct code reviews, performance analysis, and debugging of ML models and infrastructure components, ensuring high-quality deliverables.
    • Stay updated with industry trends, emerging technologies, and best practices in ML, cloud computing, and AI/ML engineering.

    Soft Skills

    • Bachelor's or master's degree in computer science, engineering, or related field.
    • 9-13 years of experience in ML architecture, cloud computing, and AI/ML engineering, with hands-on experience in Azure/AWS.
    • Strong leadership, communication, and stakeholder management skills.
    • Proven track record of leading ML architecture projects from conception to implementation, delivering business value and technical excellence.
    • Strategic thinking, problem-solving, and decision-making abilities.
    • Ability to work effectively in a fast-paced, collaborative environment, managing multiple priorities and stakeholders.
    • Strong analytical and critical thinking skills, with a focus on continuous learning and improvement.
    • Experience in leading and mentoring technical teams, fostering a culture of innovation, collaboration, and knowledge sharing.

    To qualify for the role, you must have

    • A bachelor's or master's degree in computer science, engineering, or related field.
    • 9-13 years of experience in ML architecture, cloud computing, and AI/ML engineering, with hands-on experience in Azure/AWS.
    • Strong communication skills and a proactive approach to learning and development are essential for success in this role.

    Ideally, you'll also have

    • Experience with ML model deployment, monitoring, and optimization in production environments.
    • Familiarity with Azure ML, AWS SageMaker, TensorFlow, PyTorch, and other ML frameworks and tools.
    • Certification in Azure/AWS cloud technologies, ML engineering, or related areas is a plus.
    • Experience with containerization, Kubernetes, and DevOps practices for ML workflows.
    • Knowledge of data engineering, data lakes, and big data technologies for ML applications.

    What working at EY offers

    At EY, we're dedicated to helping our clients, from start–ups to Fortune 500 companies — and the work we do with them is as varied as they are.

    You get to work with inspiring and meaningful projects. Our focus is education and coaching alongside practical experience to ensure your personal development. We value our employees and you will be able to control your own development with an individual progression plan. You will quickly grow into a responsible role with challenging and stimulating assignments. Moreover, you will be part of an interdisciplinary environment that emphasizes high quality and knowledge exchange. Plus, we offer:

    • Support, coaching and feedback from some of the most engaging colleagues around
    • Opportunities to develop new skills and progress your career
    • The freedom and flexibility to handle your role in a way that's right for you

    EY | Building a better working world

    EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets.

    Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate.

    Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

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