S&C Global Network - AI - CG&S – ML Engineer Analyst

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

Management Level: 11-Analyst

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.

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