Br /br /Your role responsibilitiesbr /br /br / br /br /br /As a Machine Learning Engineer, you will:br /br /br /br /Design, develop, and deploy ML and NLP models to solve business problems in areas like customer service, compliance, fraud, and operational efficiency.br /br /Build and optimize retrieval-augmented generation (RAG) pipelines integrating LLMs and knowledge bases.br /br /Develop and enhance chatbots and virtual assistants using GenAI and conversational AI frameworks.br /br /Collaborate with cross-functional teams to deliver AI products on Microsoft Azure cloud infrastructure.br /br /Automate end-to-end ML workflows using tools like Azure ML, Databricks, and MLOps pipelines.br /br /Ensure models are secure, ethical, explainable, and compliant with financial industry regulations.br /br /Contribute to continuous learning, experimentation, and evaluation of new GenAI tools, open-source frameworks, and model architectures.br /br /br /br / br /br /br /Key qualificationsbr /br /br / br /br /br /Must-havesbr /br /br /br /3+ years of experience in Machine Learning, with a focus on NLP or AI applicationsbr /br /Strong Python programming skills (e.g., scikit-learn, PyTorch, Transformers, Langchain)br /br /Solid experience working with Azure cloud services (Azure ML, Azure Functions, Azure DevOps, etc.)br /br /Hands-on experience with LLMs, RAG frameworks, vector databases, and embedding modelsbr /br /Background in building or scaling chatbots, QA systems, or conversational AIbr /br /Familiarity with data engineering principles and MLOps practicesbr /br /Good understanding of model evaluation, bias detection, and explainability in ML systemsbr /br /br /br / br /br /br /Nice-to-havebr /br /br /br /Experience with tools like Openai API, Hugging Face, Langchain, Weaviate, Pinecone, or Qdrantbr /br /Knowledge of regulatory or compliance frameworks in banking (e.g., GDPR, data privacy)br /br /Previous experience in the financial services or banking industrybr /br /br /br / br /br /br /Soft skillsbr /br /br /br /Strong analytical and problem-solving skillsbr /br /Clear and effective communicator, both with technical teams and business stakeholdersbr /br /Passion for experimentation and emerging AI trendsbr /br /A team player with a proactive and solution-driven mindsetbr /