Descripción
Your team We are looking for a highly experienced Senior AI Machine Learning Engineer to design, build, and operate enterprise-scale AI solutions for a leading financial institution. You will collaborate with AI, Data and Business teams to deliver and support scalable Generative AI, MLOps, AI Platform, and Cloud AI capabilities while ensuring operational excellence, security, and regulatory compliance. Your role - lead the design, development, and deployment of end-to-end AI/ML and Generative AI solutions - build AI-powered applications including chatbots, RAG systems, and Agentic AI solutions with robust evaluation, monitoring, and performance frameworks - develop and maintain scalable backend services, APIs, and data pipelines using Python, FastAPI, Apache Spark, and distributed processing technologies - implement MLOps, and observability practices for model deployment, monitoring, optimisation, governance, and lifecycle management - establish engineering standards and CI/CD frameworks to ensure code quality, testing, reproducibility, automated releases, and production-grade AI deployments - collaborate cross-functionally with business, product, data, security, and operations teams in agile environments to deliver impactful AI solutions - provide technical leadership, production support, and mentorship, coaching junior AI engineers and fostering a culture of continuous learning and knowledge sharing Your expertise - strong expertise in Python and modern AI ecosystems, including LangChain, LangGraph, PyTorch, Ollama, vLLM, and related frameworks for AI application development - extensive experience designing, deploying, and operating enterprise-grade Generative AI solutions, including chatbots, RAG architectures, LLM applications, and locally hosted LLM deployments - proficient in Azure Cloud AI platforms, Oracle databases, and enterprise integration technologies, delivering scalable and secure AI solutions - deep knowledge of Machine Learning and NLP, including se