VML is hiring an AI/ML Engineer to join our technology team. In this pivotal role, you will design, train, and optimize AI models, focusing on Natural Language Processing for real-time content summarization, recommendation, and conversational interfaces.
What You'll Do
- Design, train, and optimize AI models for real-time content summarization and recommendation.
- Implement advanced NLP techniques for conversational UI and predictive interactions.
- Apply Retrieval-Augmented Generation (RAG) for intelligent response generation.
- Fine-tune transformer-based models like BERT and T5 using domain-specific datasets.
- Collaborate with backend and data engineering teams for production-grade model deployment.
- Ensure brand tone and content accuracy are maintained in all AI-generated outputs.
What We're Looking For
- Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, or a related field.
- 5–7 years of progressive AI/ML engineering experience, with a strong focus on NLP.
- Strong practical experience with TensorFlow, PyTorch, and Hugging Face.
- Experience with LangChain and LangGraph.
- Experience with MLOps pipelines and platforms like AWS SageMaker or Azure AI Search.
- Solid understanding of LLMs, embeddings, and semantic search.
- Expert proficiency in Python and libraries like Pandas and NumPy.
- Familiarity with deploying AI models via microservices or APIs.
Nice to Have
- Understanding of branding, tone, and UX implications in AI-generated content.
- Experience working with headless CMS and structured content datasets.
- Knowledge of ethical AI principles and prompt engineering best practices.
Technical Stack
- TensorFlow, PyTorch, Hugging Face, LangChain, LangGraph
- AWS SageMaker, Azure AI Search
- Python, Pandas, NumPy
Work Mode
This role follows a hybrid work model, balancing in-office collaboration with remote flexibility.
WPP (VML) is an equal opportunity employer and considers applicants for all positions without discrimination.
