Job Description
Your role and responsibilities as a Machine Learning Engineer will involve designing, developing, and deploying machine learning and natural language processing models to solve business problems in areas like customer service, compliance, fraud, and operational efficiency.
You will build and optimize retrieval-augmented generation pipelines integrating large language models and knowledge bases. This includes developing and enhancing chatbots and virtual assistants using generative AI and conversational AI frameworks.
Collaboration with cross-functional teams is required to deliver AI products on Microsoft Azure cloud infrastructure. You will automate end-to-end ML workflows using tools like Azure ML, Databricks, and MLOps pipelines.
Model security, ethics, explainability, and compliance with financial industry regulations are essential aspects of your role.
Required Skills and Qualifications
1. 3+ years of experience in Machine Learning, with a focus on NLP or AI applications
2. Strong Python programming skills (e.g., scikit-learn, PyTorch, Transformers, Langchain)
3. Solid experience working with Azure cloud services (Azure ML, Azure Functions, Azure DevOps, etc.)
4. Hands-on experience with LLMs, RAG frameworks, vector databases, and embedding models
5. Background in building or scaling chatbots, Q&A systems, or conversational AI
6. Familiarity with data engineering principles and MLOps practices
7. Good understanding of model evaluation, bias detection, and explainability in ML systems
Benefits
The ideal candidate will have experience with tools like Openai API, Hugging Face, Langchain, Weaviate, Pinecone, or Qdrant. Knowledge of regulatory or compliance frameworks in banking (e.g., GDPR, data privacy) is also desirable. Previous experience in the financial services or banking industry is an asset.
Soft Skills
Strong analytical and problem-solving skills are necessary for this role. Effective communication with technical teams and business stakeholders is also required. A passion for experimentation and emerging AI trends is essential for success in this position.