Key Responsibilities: Design, implement, and optimize Generative AI solutions and RAG frameworks. Develop scalable data pipelines, perform ETL, and design dimensional models for optimal data storage. Deploy, monitor, and optimize AI models for performance, scalability, and cost efficiency. Collaborate with cross-functional teams to align solutions with business goals. Communicate complex AI concepts clearly to non-technical stakeholders. Stay ahead of the curve by researching and experimenting with new AI architectures and techniques. Job Experience and Skills Required: Education: Bachelors degree in Computer Science, Data Science, Machine Learning, or related field (Masters/PhD preferred). Experience: 3 years in AI/ML, with at least 12 years specialising in Generative AI. Technical Skills: Proficiency in Python, SQL, Pandas, NumPy. Experience with deep learning frameworks (TensorFlow, PyTorch) and LLM tools (LangChain, Llama-Index). Cloud platforms (AWS, GCP, Azure) and containerization (Docker, Kubernetes). Strong data engineering skills (ETL, pipeline design, data modelling). Knowledge of MLOps practices for model versioning, monitoring, and retraining. Soft Skills: Proactive, curious, collaborative, and strong communicator. Preferred Certifications: AWS ML Specialty, GCP ML Engineer, Azure AI Engineer, or similar. Apply now! For more exciting Finance and Tech vacancies, please visit: