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

Posted:
3/7/2024, 4:00:00 PM

Location(s):
Karnataka, India ⋅ Bengaluru, Karnataka, India

Experience Level(s):
Mid Level ⋅ Senior

Field(s):
AI & Machine Learning

Entity: - Accenture Strategy & Consulting

Team: - Strategy & Consulting – Global Network

Practice: - Communications & Media - AI & Data Architectures

Title: - I&F Decision Sci Practitioner Consultant

Job location: - Bangalore, Hyderabad

About S&C - 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. 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 / 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.

Who we are looking for?

  • Bachelor's 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 organization's 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.

Equal Employment Opportunity Statement


All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law.

Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process.

Accenture is committed to providing veteran employment opportunities to our service men and women.

Accenture

Website: https://accenture.com/

Headquarter Location: Dublin, Dublin, Ireland

Employee Count: 10001+

Year Founded: 1989

IPO Status: Public

Last Funding Type: Grant

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