S&C Global Network - AI - CMT - ML Architecture -Senior Analyst

3 - 8 years

20 - 25 Lacs

Posted:20 hours ago| Platform: Naukri logo

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Job Description


 About The Role  
Job Title -
S&C Global Network - AI - CMT - ML Architecture -Associate Manager
Management Level:
8-Associate Manager
Location:
Bengaluru
Must-have skills:Machine Learning Architecture Design

Good to have skills:
Ability to leverage design thinking, business process optimization, and stakeholder management skills.
Job
Summary:
This role involves driving strategic initiatives, managing business transformations, and leveraging industry expertise to create value-driven solutions.Roles & Responsibilities:
Provide strategic advisory services, conduct market research, and develop data-driven recommendations to enhance business performance.WHAT'S IN IT FOR YOU?
  • Accenture has committed to invest USD 3Billion into GenAI in the next 3 years. We will continually invest in your learning and growth. You'll work with Accenture's highly skilled and experienced practitioners, and Accenture will support you in growing your own career path and interests.
  • You'll be part of a diverse, vibrant, global Accenture Data and AI community, continually pushing the boundaries of business capabilities.

  • What you would do in this role
    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 cutting-edge technologies into solutions.

  • Incubating and Designing:
  • Proactively identify opportunities for ML and Gen AI applications within the organization.
  • Work closely with cross-functional 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 non-technical audiences.

  • Professional & Technical
    Skills:

  • - Relevant experience in the required domain. - Strong analytical, problem-solving, and communication skills. - Ability to work in a fast-paced, dynamic environment.
  • Proven expertise in conducting ML maturity assessments and developing ML Ops roadmaps.
  • Demonstrable hands-on 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 problem-solving 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, Scikit-learn, 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


  • Additional Information:

    - Opportunity to work on innovative projects. - Career growth and leadership exposure.About Our Company | Accenture
     Qualification 
    Experience:
    10 to 12 Years

    Educational Qualification:

    Minimum 15 Years of Education

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    Accenture

    Professional Services

    Dublin

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