Join our Experience Intelligence team as a Generative AI and LLM Specialist, where you'll contribute to building a brand new ad intelligence platform. In this role, you will develop innovative AI models focused on ad creative intelligence, using your expertise in LLMs and VLMs, including fine-tuning and Retrieval-Augmented Generation (RAG). This position is ideal for professionals passionate about working on the full lifecycle of generative AI-enabled platform capabilities, from conceptualization and experimentation to implementation and execution, ensuring a robust and scalable system.
What you'll Do
Build and Innovate : Design, fine-tune and deploy generative AI models with an eye on generalisation for customer use cases in a multi-tenant environment. Have an Ability to deeply understand product requirements and gaps and design solutions that meet those needs.
Quality Assurance: Conduct detailed testing of AI-generated content to ensure alignment with quality standards and suitability for the intended audience . Identify patterns of errors or biases and work to mitigate these issues.
Standout Colleague : Work effectively with all collaborators to understand product and engineering needs thoroughly.
Eager Learner: Keep abreast of the latest AI/ML trends, tools, and standard methodologies to apply new knowledge for improving project outcomes .
Ethics First : Champion ethical AI development, from bias mitigation to privacy protection.
What you need to succeed
Relevant Degree or equivalent experience: bachelors or advanced degree in Computer Science, AI, ML, or related fields Practical Experience : 2-4 yrs total experience in ML /Deep Learning with at least 2 years experience in Generative AI (Fine-tuning LLM, RAG, Agentic AI etc) Programming Proficiency : Proven Python skills and AI/ML tools (eg, TensorFlow, PyTorch). Tech-Savvy Foundations : Exposure to software engineering practices. Problem Solver : Demonstrated ability to tackle challenges with innovative solutions. Communicator : Strong skills in articulating ideas and collaborating with various teams. Research Attitude: A curiosity driven approach to exploring new applications of generative AI is valued . Emerging Leader : Show potential for technical leadership and project guidance.
Job Classification
Industry: IT Services & ConsultingFunctional Area / Department: Data Science & AnalyticsRole Category: Data Science & Machine LearningRole: Machine Learning EngineerEmployement Type: Full time