S&C Global Network - AI - CG&S - ML Engineer Consultant - Accenture - ref. m36559423
Experience: 8 to 10 Years
Educational Qualification: Any Degree
Job Title - S&C Global Network - AI - CG&S - ML Engineer Consultant
Management Level: 9-Team Lead/ConsultantLocation: 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.
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