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    Job · 13637710

    Accenture logo

    S&C Global Network - AI - CMT Engineering - Specialist

    Accenture · Bengaluru · onsite · Posted 59d ago

    Undisclosed4–9 yrsfulltimeSourced fromNaukri

    About a minute. You'll make an account on the way through.

    About this role

    About The Role


  1. Job Title - SC Global Network - AI - CMT AI ML Consultant


  2. Management Level:9- Consultant


  3. Location:Open


  4. Must-have skills:Gen AI ML



  5. Good to have skills:
    Ability to leverage design thinking, business process optimization, and stakeholder management skills.


  6. Experience:4+ years



  7. Educational Qualification:
    Btech/ BE


  8. Job

    Summary:
    This role involves driving strategic initiatives, managing business transformations, and leveraging industry expertise to create value-driven solutions.






  9. Roles Responsibilities:


    Provide strategic advisory services, conduct market research, and develop data-driven recommendations to enhance business performance.


  10. WHATS IN IT FOR YOU
  11. 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 Accentures highly skilled and experienced practitioners, and Accenture will support you in growing your own career path and interests.
  12. Youll be part of a diverse, vibrant, global Accenture Data and AI community, continually pushing the boundaries of business capabilities.


  13. What you would do in this role


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


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


  20. Implementation of Gen AI Solutions:
  21. Lead the design and implementation of state-of-the-art Generative AI solutions, leveraging deep learning frameworks such as TensorFlow and PyTorch.
  22. Drive innovation in Gen AI, staying abreast of the latest advancements and incorporating cutting-edge technologies into solutions.


  23. Incubating and Designing:
  24. Proactively identify opportunities for ML and / or Gen AI applications within the organization.
  25. Work closely with cross-functional teams to incubate and design bespoke ML solutions tailored to business requirements.


  26. Technical Leadership:
  27. Provide technical leadership and mentorship to data scientists, engineers, and other team members.
  28. Collaborate with stakeholders to ensure alignment between technical solutions and business objectives.


  29. Collaboration and Communication:
  30. Collaborate with business stakeholders to understand their needs and translate them into ML and Gen AI requirements.
  31. Effectively communicate complex technical concepts to non-technical audiences.



  32. Qualification




  33. Professional Technical


    Skills:

  34. - Relevant experience in the required domain.
    - Strong analytical, problem-solving, and communication skills.
    - Ability to work in a fast-paced, dynamic environment.
  35. Proven expertise in conducting ML maturity assessments and developing ML Ops roadmaps.
  36. Hands-on experience in operationalizing the Machine learning system on a cloud and / or an On-Prem platform.
  37. Experience in implementing Generative AI solutions, including incubation, design, and deployment will be a big plus.
  38. Proficiency in deep learning frameworks such as TensorFlow and PyTorch.
  39. Good knowledge of ML Ops best practices and processes.
  40. Excellent problem-solving skills and ability to design scalable and reliable ML architectures.
  41. Strong leadership and communication skills, with a track record of leading successful ML initiatives.
  42. Experience in Telecom or Hi Techor Software and platform industry desirable
  43. Tools Techniques:
  44. TensorFlow, PyTorch, Scikit-learn, Keras
  45. NumPy, Pandas
  46. Matplotlib, Seaborn
  47. TensorFlow Serving, Docker and Kubernetes
  48. Good software engineering practices, including code modularization, documentation, and testing.
  49. Experience with open API , Integration architecture , microservices






  50. Additional Information:

    - Opportunity to work on innovative projects.
    - Career growth and leadership exposure.
  51. Sourced from naukri

    Skills

    DockerKubernetesMarket ResearchTechnical LeadershipckerasseabornmatplotlibPytorchTensorflowPandasNumpyArchitectureDeep LearningStakeholder ManagementMicroservicesSoftware EngineeringTelecomArtificial IntelligenceMachine Learning

    About Accenture

    Accenture logo

    Accenture

    IT Services & Consulting

    350k+

    employees

    1989

    37 years old

    Dublin

    Ireland

    About

    Accenture plc is an Irish-American, professional services company based in Dublin, specializing in information technology services and consulting.

    Industries

    IT Services & ConsultingAnalytics & KPOSoftware ProductManagement Consulting

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