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Machine Learning Engineer

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Machine Learning Engineer

h2Your role responsibilities /h2  br/ As a Machine Learning Engineer, you will:br/ ul liDesign, develop, and deploy ML and NLP models to solve business problems in areas like customer service, compliance, fraud, and operational efficiency. /li liBuild and optimize retrieval-augmented generation (RAG) pipelines integrating LLMs and knowledge bases. /li liDevelop and enhance chatbots and virtual assistants using GenAI and conversational AI frameworks. /li liCollaborate with cross-functional teams to deliver AI products on Microsoft Azure cloud infrastructure. /li liAutomate end-to-end ML workflows using tools like Azure ML, Databricks, and MLOps pipelines. /li liEnsure models are secure, ethical, explainable, and compliant with financial industry regulations. /li liContribute to continuous learning, experimentation, and evaluation of new GenAI tools, open-source frameworks, and model architectures. /li /ul  br/ h2Key qualifications /h2  br/ Must-havesbr/ ul li3+ years of experience in Machine Learning, with a focus on NLP or AI applications /li liStrong Python programming skills (e.g., scikit-learn, PyTorch, Transformers, Langchain) /li liSolid experience working with Azure cloud services (Azure ML, Azure Functions, Azure DevOps, etc.) /li liHands-on experience with LLMs, RAG frameworks, vector databases, and embedding models /li liBackground in building or scaling chatbots, QA systems, or conversational AI /li liFamiliarity with data engineering principles and MLOps practices /li liGood understanding of model evaluation, bias detection, and explainability in ML systems /li /ul Nice-to-have:br/ ul liExperience with tools like Openai API, Hugging Face, Langchain, Weaviate, Pinecone, or Qdrant /li liKnowledge of regulatory or compliance frameworks in banking (e.g., GDPR, data privacy) /li liPrevious experience in the financial services or banking industry /li /ul Soft skills:br/ ul liStrong analytical and problem-solving skills /li liClear and effective communicator, both with technical teams and business stakeholders /li liPassion for experimentation and emerging AI trends /li liA team player with a proactive and solution-driven mindset /li /ul

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