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S&C Global Network - AI - CMT - ML Architecture - Specialist

8-13 years

₹ 10 - 23.5L/yr (AmbitionBox estimate)

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Pune

S&C Global Network - AI - CMT - ML Architecture - Specialist

Accenture

posted 10d ago

Job Role Insights

Flexible timing

Job Description

Entity:- Accenture Strategy Consulting

Team:- Strategy Consulting Global Network

Practice:- Communications Media - AI Data Architectures

Title:- IF Decision Sci Practitioner Consultant

Job location:- Bangalore, Hyderabad

About SC - Global Network:- Accenture Strategy Consulting Global Network - Data AI practice help our clients grow their business in entirely new ways. Analytics enables our clients to achieve high performance through insights from data - insights that inform better decisions and strengthen customer relationships. From strategy to execution, Accenture works with organizations to develop analytic capabilities - from accessing and reporting on data to predictive modelling - to outperform the competition.

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. Youll 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 organizations 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 / or 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.

  • Qualifications


    Who we are looking for
  • Bachelors or advanced degree in Computer Science, Data Science, or a related field.
  • Over 8 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.
  • Hands-on experience in operationalizing the Machine learning system on a cloud and / or an On-Prem platform.
  • Experience in implementing Generative AI solutions, including incubation, design, and deployment will be a big plus.
  • Proficiency in deep learning frameworks such as TensorFlow and PyTorch.
  • Good 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 open API , Integration architecture , microservices
  • If you are a visionary Machine Learning Architect with a passion for advancing ML maturity, implementing cutting-edge Gen AI solutions, and driving innovation, we invite you to apply and contribute to our organizations success.

    Accenture is an equal opportunities employer and welcomes applications from all sections of society and does not discriminate on grounds of race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, or any other basis as protected by applicable law.

    Employment Type: Full Time, Permanent

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    What people at Accenture are saying

    3.4
     Rating based on 66 Specialist reviews

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    Accenture Operations have no pros

    Dislikes

    Toxic managers Toxic work loads Scary shifts without night shift allowance You are not entitled to take your own leaves Even sick leaves are questioned Forger about hikes, promotions and rewards. This place is only for the people who just agree their bosses and who say no they are in trouble.

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    Specialist salary at Accenture

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    ₹8.2 L/yr - ₹29 L/yr
    72% more than the average Specialist Salary in India
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    What Accenture employees are saying about work life

    based on 56.6k employees
    65%
    85%
    67%
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    Flexible timing
    Monday to Friday
    No travel
    Day Shift
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    Accenture Benefits

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