VML - Lead Data Scientist - Deep Learning / Machine Learning

Description : About the job :

Who We Are :

At VML, we are a beacon of innovation and growth in an ever-evolving world.

Our heritage is built upon a century of combined expertise, where creativity meets technology, and diverse perspectives ignite inspiration.

With the merger of VMLY&R and Wunderman Thompson, we have forged a new path as a growth partner that is part creative agency, part consultancy, and part technology powerhouse.

Our global family now encompasses over 30,000 employees across 150+ offices in 64 markets, each contributing to a culture that values connection, belonging, and the power of differences.

Our expertise spans the entire customer journey, offering deep insights in communications, commerce, consultancy, CRM, CX, data, production, and technology.

We deliver end-to-end solutions that result in revolutionary work.

Lead Data Scientist

Permanent - India

The Opportunity :

We are investing massively in developing next-generation AI tools for multimodal datasets and a wide range of applications.

We are building large scale, enterprise grade solutions and serving these innovations to our clients and WPP agency partners.

As a member of our team, you will work alongside world-class talent in an environment that not only fosters innovation but also personal and professional growth.

You will be at the forefront of AI, leveraging multimodal datasets to build groundbreaking AI systems over a multi-year roadmap.

Your contributions will directly shape cutting-edge AI products and services that make a tangible impact for FTSE 100 clients.

We are hiring across all experience levels in AI engineering, from entry-level to seasoned professionals, and offer competitive salaries commensurate with experience and skills.

What Youll Be Doing :

• Design and deploy intelligent, agent-driven systems that autonomously solve complex, real-world problems using cutting-edge algorithms and AI libraries.
• Engineer collaborative agentic frameworks that coordinate multiple specialized agents to deliver advanced AI capabilities for enterprise-scale applications.
• Build and extend MCP-based infrastructure that enables secure, context-rich interaction between agents and external tools, empowering AI systems to act, reason, and adapt in real-time.
• Build human-in-the-loop agent workflows where humans benefit from AI assistance in decision-making and automation, while agents learn and improve through continuous human feedback.
• Stay abreast of the latest trends in AI research and integrate them into our products and services.
• Communicate technical challenges and solutions to non-technical stakeholders and team members.

What We Want From You :

If You Know Some Of This Even Better :

(ref : hirist.tech)