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    Technical Support Engineer-Azure Machine Learning - Bengaluru, India - Sonata Software

    Sonata Software
    Sonata Software Bengaluru, India

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

    Default job background
    Technology / Internet
    Description

    About Sonata Software

    In today's market, we observe a distinct duality in technology adoption. On one front, clients are keenly focused on cost containment, while on the other, there is a strong drive to modernize their digital storefronts, aiming to appeal to both consumers and B2B customers alike.

    As a leading Modernization Engineering company, we aim to deliver modernization-driven hypergrowth for our clients based on the deep differentiation we have created in Modernization Engineering, powered by our Lightening suite and 16-step PlatformationTM playbook. In addition, we bring agility and systems thinking to accelerate time to market for our clients.

    Headquartered in Bengaluru, India, Sonata Software has a strong global presence, with strategic operations spanning across key regions such as the US, UK, Europe, APAC, and ANZ. We are a trusted partner of world-leading companies in TMT (Telecom, Media, and Technology), Retail & CPG, Manufacturing, BFSI (Banking, Financial Services and Insurance), and HLS (Healthcare and Lifesciences). Our bouquet of Modernization Engineering services cuts across Cloud, Data, Dynamics, Contact Centers, and around newer technologies like Generative AI, MS Fabric, and other modernization platforms.

    To know more, visit:

    Azure Machine Learning – Technical Support Engineer

    Location : Bangalore/ Hyderabad

    Skills :

    Knowledge with Azure Machine Learning and how it works with associated Azure services.

    Strong Python coding skills preferably SDK Ver2

    Knowledge of AML workspace Provisioning and model Deployment

    Knowledge in AML Studio, Azure Key Vault,Azure Kubernetes Services , Azure cloud Storage, Azure Container Registry

    Knowledge of scenario-based Inferencing, how to deploy, how to provision on a compute and get the inferencing results

    Knowledge of Networking, DNS, Troubleshooting will be added advantage

    Familiarity with machine learning algorithms, model development, and deployment.

    Experience in troubleshooting and resolving technical issues related to machine learning frameworks and tools.

    Responsible for providing technical support and expertise to customers utilizing the Azure Machine Learning platform. Respond to inquiries, troubleshoot technical issues and provide solutions. Debugging, and problem-solving skills

    Investigate and resolve customer-reported problems related to Azure Machine Learning services (Ex:ML job failures). Understand API errors, browser compatibility issues, image processing, face recognition.

    Azure, AWS cloud development experience

    Effective communication and interpersonal skills to interact with customers and cross-functional teams.

    Technical Support Engineer - Responsibilities


    • Responsible for the customer support experience with Microsoft


    • Own, troubleshoot and solve customer technical issues, using collaboration, troubleshooting best practices and transparency within and across teams (e.g. swarming)


    • Identify cases that require escalation (either technically or strategically)


    • Create and maintain incident management requests to product group or engineering group


    • Contribute to case deflection initiatives, automation and other digital self-help assets to improve customer and engineer experience


    • Provide ramp activities, knowledge sharing, technical coaching and mentoring


    • Drive technical collaboration and engagement outside of CSS (Product Engineering teams, Services, Support, Regions)

    Customer Guidance: Provide guidance and recommendations to customers on best practices for machine learning model development, deployment, and monitoring using Azure Machine Learning.

    Troubleshoot and resolve technical issues, performs system maintenance and upgrades, and provides guidance and training to users.


    • Lead or participate in building communities with peer delivery roles; may be workload or specialty specific

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