Job Title : Data Scientist

location : Hyderabad

Experience : 8 + Years

Job Type : Fulltime

YOUR RESPONSIBILITIES

• Develop and leverage state-of-the-art algorithms and libraries to solve complex problems for our clients.
• Collaborate with VML Product teams on advanced AI features for marketing applications
• Analyse large multi-modal datasets to extract insights and features that can be used by downstream AI models.
• Develop integrated AI solutions by combining fine-tuned LLMs, machine learning models, and custom algorithms to address complex marketing challenges.
• 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.

MINIMUM QUALIFICATIONS / SKILLS

• Experience in machine learning, with a strong knowledge of algorithms and principles.
• Proven track record of building and deploying machine learning models into production.
• Hands-on experience with both structured and unstructured data.
• Experience with deep learning models for either computer vision or natural language processing.
• Proficiency with the Python programming language.
• Knowledge of Git and collaboration principles.
• Strong communication and presentation skills.

About VML

VML is a leading creative company that combines brand experience, customer experience, and commerce to create connected brands and drive growth. VML is celebrated for its innovative and award-winning work for blue chip client partners including AstraZeneca, Colgate-Palmolive, Dell, Ford, Intel, Microsoft, Nestlé, The Coca-Cola Company, and Wendy's. The agency is recognized by the Forrester Wave™ Reports, which name WPP as a “Leader” in Commerce Services, Global Digital Experience Services, Global Marketing Services and, most recently, Marketing Measurement & Optimization. As the world’s most advanced and largest creative company, VML’s global network is powered by 30,000 talented people across 60-plus markets, with principal offices in Kansas City, New York, Detroit, London, São Paulo, Shanghai, Singapore, and Sydney.