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

Accenture in India; Bengaluru; On-site; INR 3,000,000 - 5,000,000; Full time

Benefits offered by this job

GenAI investment

Learning growth

Global community

Job summary

Accenture in India is seeking a S&C Global Network AI - CMT – AI ML Consultant to drive GenAI initiatives, guide ML maturity, and build scalable AI solutions across business functions.

You will lead ML Ops roadmaps, design Gen AI applications, mentor data scientists, and collaborate with stakeholders to translate needs into technical requirements, delivering value-driven outcomes.

The role emphasizes leadership, advisory, and staying current with AI trends to boost client outcomes.

Qualifications

• Gen AI and ML expertise required.
• Experience in strategic advisory and business transformation.
• Ability to conduct market research and develop data-driven recommendations.

Responsibilities

• ML maturity assessment with strategic recommendations.
• Develop ML Ops roadmaps and end-to-end ML lifecycle processes.
• Lead design and implementation of Gen AI solutions using DL frameworks.
• Incubate ML/Gen AI applications and design bespoke solutions.
• Provide technical leadership and mentorship to data scientists and engineers.
• Collaborate with stakeholders and translate needs into ML/Gen AI requirements.

Skills

Gen AI ML

Education

Btech/ BE

Job description

Job Title - S&C Global Network - AI - CMT – AI ML Consultant

Job Title - S&C Global Network - AI - CMT – AI ML Consultant

Management Level: 9- Consultant

Location: Open

Must-have skills:

Gen AI ML

Good to have skills:

Ability to leverage design thinking, business process optimization, and stakeholder management skills.

Experience:

4+ years

Educational Qualification:

Btech/ BE

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 / 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.