AI Engineer at VML Enterprise Solutions

New Delhi, delhi, India -

Full Time

Start Date

Immediate

Expiry Date

11 Jan, 26

Salary

0.0

Posted On

13 Oct, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, Machine Learning, Deep Learning, PyTorch, TensorFlow, Multimodal Data, AI Models, API Deployment, Version Control, MLOps, Agentic Systems, Reinforcement Learning, Containerization, Kubernetes, Cloud Tools, Human Feedback

Industry

IT Services and IT Consulting

Description

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. 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. What you’ll 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: Fluency in Python and experience with core machine learning and deep learning frameworks (e.g., PyTorch, TensorFlow), with a proven ability to build, train, and evaluate models in real-world environments. Solid grasp of modern ML/AI fundamentals, including representation learning, optimization, generalization, and evaluation metrics across supervised, unsupervised, and generative settings. Experience working with multimodal data, including text, image, and structured formats, and building pipelines for feature extraction, embedding generation, and downstream model consumption. Hands-on experience integrating AI models into production workflows, including model inference, API deployment, and system monitoring. Proficiency in using version control, testing frameworks, and collaborative development workflows, including Git and basic CI/CD practices. Ability to communicate clearly about system behavior, trade-offs, and architectural decisions, especially when working across interdisciplinary teams. Understanding of LLMOps/MLOps principles, including model/version tracking, pipeline reproducibility, observability, and governance in production environments. If you know some of this even better: Experience designing agentic systems, including goal-oriented multi-agent workflows, agent coordination strategies, and state/context management across long-running processes. Proficiency in agent orchestration frameworks such as LangChain, LangGraph, AutoGen, or custom frameworks designed to enable modular, reusable, and stateful agent components. Experience implementing secure agent-tool communication via infrastructures like Model Context Protocol (MCP), enabling agents to operate over filesystems, command-line tools, cloud APIs, and databases. Comfort with designing systems that evolve through human feedback, including methods like reinforcement learning from human feedback (RLHF), reward modeling, and in-context human correction. Competence in scalable deployment practices, including containerization (Docker), orchestration (Kubernetes), and cloud-native tools across AWS, GCP, or Azure. What we can offer you: Alongside the opportunity to work with some of the most exciting brands around the world, we’ll also prioritise your career development and help you grow your skills. We’ll empower you to make a difference, allow you to be yourself, and respect who you are. Our personality and behaviours: We believe that we are what we do, not just what we say. Our shared values and behaviours show how to bring the VML Enterprise Solution's culture to life through the actions we all take every day: Connect Meaningfully Inspire Creatively Include Purposefully Approach Positively Our brilliant, talented people are what makes VML Enterprise Solutions what we are. That’s why we look for people who go beyond and always push our thinking to be better than yesterday. AT VML Enterprise Solutions Our Enterprise Solutions division houses strategic consultants, creative and technical architects and skilled developers and operators that together help some of the world’s leading organisations to deliver outstanding digital experiences across all major routes to market worldwide: marketplaces, online retailers, D2C, B2B and social platforms. With over 4,200 experts in 55 operational centres across 34 countries, our capabilities span the entire buying journey from customer acquisition, through engagement, to conversion and loyalty, driving multi-channel growth for world-leading brands. We work with some of the most exciting brands such as The Coca-Cola Company, EY, Bosch, Unilever, Ford, DFS, Mercedes-Benz, Johnson & Johnson, Nestlé, Sainsbury’s, Selfridges, Shell and Tiffany & Co. We’ve built over 500 platforms for brands and retailers and generate in excess of $29bn annually for our clients and work with over 50 strategic partners including Adobe, SAP, Salesforce, HCL, Shopify, Sitecore, BigCommerce, commerce tools and Acquia. Our reputation is based on our people, and we believe we have some of the best in the business. As our business grows internationally, we’re looking for new people to join us on our journey to inspire and take a key role in shaping some of the best commerce solutions, services, and websites in the world. Working as a team, no problem is insurmountable; we share in our client’s successes and believe that anyone can show creative bravery no matter what their role is in the team. WPP (VML Enterprise Solutions) is an equal opportunity employer and considers applicants for all positions without discrimination or regard to characteristics. We are committed to fostering a culture of respect in which everyone feels they belong and has the same opportunities to progress in their careers. VML is a WPP Agency. For more information, please visit our website, and follow VML on our social channels via Instagram, LinkedIn, and X. When you click "Submit Application", this will send any information you add below to VML. Before you do this, we think it's a good idea to read through our Recruitment Privacy Policy. California residents should read our California Recruitment Privacy Notice. This explains what we do with your personal data when you apply for a role with us, and, how you can update the information you have provided us with or how to remove it.

Responsibilities

Design and deploy intelligent, agent-driven systems that autonomously solve complex, real-world problems. Engineer collaborative frameworks that coordinate multiple specialized agents for enterprise-scale applications.