S&C Global Network - AI - CG&S - ML Engineer Consultant

JR: R00215345

Experience: 8 to 10 Years

Educational Qualification: Any Degree

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Job Title - S&C Global Network - AI - CG&S - ML Engineer Consultant

Management Level: 9-Team Lead/Consultant

Location: Bengaluru, BDC7C

Must-have skills: Data Science

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

Job Summary:

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

Roles & Responsibilities:

What you would do in this role

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

Responsibilities:

• Collaborate closely with clients and stakeholders in the CG&S domain to grasp business requirements and user needs, translating them into effective machine learning solutions.

• Provide expert consultation and guidance to internal stakeholders on best practices in machine learning, utilizing Azure Services, Data Science methodologies, Python programming, DevOps/GitHub integration, and data assessment techniques.
• Lead the development and implementation of data pipelines tailored to various sources, including Nielsen, Kantar, IRI, EPOS, public data, E-Comm, and Brand Health data, ensuring cloud-agnostic compatibility across AWS, Azure, and GCP.
• Utilize advanced modelling techniques and feature synthesis methodologies to extract actionable insights from diverse datasets.
• Conduct comprehensive data quality checks and implement measures for continuous improvement.
• Drive the creation of analytical models, leveraging techniques such as LLM (Large Language Models) and Generative AI, to address complex business challenges.
• Manage end-to-end project lifecycles, from initial scoping to deployment and maintenance, ensuring adherence to timelines and budget constraints.
• Stay updated on emerging trends and advancements in machine learning, contributing insights and recommendations to the team and wider organization.
• Collaborate effectively with data scientists, analysts, and engineers to seamlessly integrate machine learning models into data-driven applications and products.
• Contribute to thought leadership initiatives by sharing expertise through mediums such as blog posts, whitepapers, and presentations, fostering knowledge sharing within the organisation.

Professional & Technical Skills:

- Relevant experience in the required domain. 

- Strong analytical, problem-solving, and communication skills. 

- Ability to work in a fast-paced, dynamic environment.

Additional Information:

- Opportunity to work on innovative projects. 

- Career growth and leadership exposure.

About Our Company | Accenture

Experience: 8 to 10 Years

Educational Qualification: Any Degree

About Accenture

We work with one shared purpose: to deliver on the promise of technology and human ingenuity. Every day, more than 775,000 of us help our stakeholders continuously reinvent. Together, we drive positive change and deliver value to our clients, partners, shareholders, communities, and each other.We believe that delivering value requires innovation, and innovation thrives in an inclusive and diverse environment. We actively foster a workplace free from bias, where everyone feels a sense of belonging and is respected and empowered to do their best work.At Accenture, we see well-being holistically, supporting our people’s physical, mental, and financial health. We also provide opportunities to keep skills relevant through certifications, learning, and diverse work experiences. We’re proud to be consistently recognized as one of the World’s Best Workplaces™.Join Accenture to work at the heart of change.

Visit us at www.accenture.com 

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