S&C Global Network - AI - CG&S – Analyst Data Science

Entity:- Accenture Strategy & Consulting

Team:- Applied Intelligence, Accenture Strategy & Consulting

Practice:- CG&S

Title:-I&F Decision Science AI/ML Manager

Job location:- Bengaluru

About S&C - Global Network:-At Accenture Strategy & Consulting Global Networkwe aim at deep industry expertise, advanced analytics capabilities and human-leddesign methodologies that enable clients to act with speed and confidence.We thrive by integrating human ingenuity with intelligent technology to address businesses' most complex problems. With a team of 3,000+ Data Scientists, we leverage robotic process automation, content analytics, predictive analytic models, and cognitive services to help clients drive their growth and transformation agenda.

We are looking for a highly motivated and passionate Industry experts to join Accenture's Global Strategy & Consulting Network. The vision S&CG is to offer tailored solutions to meet the diverse needs of clients across various industries. Our commitment to thought leadership, innovation, and client-centricity ensures that we deliver value-added services that help clients navigate complex business landscapes and achieve their strategic objectives. Through collaboration, knowledge sharing, and talent development initiatives, we empower our professionals to continuously innovate, grow, and deliver excellence to clients.

WHAT'S IN IT FOR YOU?

• Accenture will continually invest in your learning and growth. You'll work with Accenture's certified Data & AI practitioners, and Accenture will support you in growing your own tech stack and certifications.
• You'll be part of a diverse, vibrant, global Accenture Data & AI community, continually pushing the boundaries of business capabilities.

What you would do in this role

We are seeking a skilled and experienced MLE Manager to join our team. The ideal candidate should have a strong background in working in different cloud environments(GCP, Azure or AWS), CI\CD WoW, Migration process, MLOps, LLMOps and Data Engineering.

Responsibilities:

Role:ML Engineer Manager

Responsibilities:

• Lead and manage a team of machine learning engineers, overseeing the development and deployment of machine learning solutions for clients within the CG&S domain.
• Provide strategic direction, mentorship, and support to team members, nurturing their professional growth and expertise.

• Collaborate closely with CG&S clients and stakeholders to comprehend business requirements and user needs, translating them into actionable strategies for the development of machine learning models.
• Offer strategic consultation and guidance to internal stakeholders on machine learning principles, tools, and methodologies, including Azure Services, Data Science, Python, and DevOps/GitHub integration.
• Lead collaborative sessions and supervise the creation of advanced data pipelines and models, utilizingexpertise in data assessment, modeling, data feature synthesis, and conducting data quality checks.
• Drive the creation and implementation of analytical models, including LLM and Generative AI techniques, to address complex business challenges.
• Stay abreast of emerging trends and best practices in machine learning and cloud technologies, sharing insights and recommendations with the team.
• Collaborate with data scientists, analysts, and engineers to seamlessly integrate machine learning models into data-driven applications and products.
• Contribute to thought leadership initiatives within the organization, such as blog posts, whitepapers, and presentations, to showcaseexpertise and foster knowledge sharing.
• Manage project timelines, budgets, and resources effectively to ensure the timely delivery of high-quality machine learning solutions.
• Contribute to business development efforts by providing expertise and insights for RFP responses, client presentations, and proposals, identifying opportunities for growth and contributing to the development of strategies to expand the machine learning practice.