Unlock your potential as a "Data Model Architect" Job Description\ Develop and implement advanced data models to drive business growth in areas such as customer service, compliance, fraud, and operational efficiency. \ Collaborate with cross-functional teams to design, build, and deploy scalable machine learning and natural language processing pipelines on cloud infrastructure. \ Required Skills & Qualifications\ 3+ years of experience in Machine Learning, with a focus on NLP or AI applications Strong Python programming skills (e.G., scikit-learn, PyTorch, Transformers, Langchain) Solid experience working with Azure cloud services (Azure ML, Azure Functions, Azure DevOps, etc.) Hands-on experience with large language models, retrieval-augmented generation frameworks, vector databases, and embedding models Background in building or scaling chatbots, Q&A systems, or conversational AI Familiarity with data engineering principles and MLOps practices Good understanding of model evaluation, bias detection, and explainability in ML systems \ Nice-to-Haves \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) Previous experience in the financial services or banking industry \ Soft Skills \Strong analytical and problem-solving skills Clear and effective communicator, both with technical teams and business stakeholders Passion for experimentation and emerging AI trends A team player with a proactive and solution-driven mindset \ "Data Model Architect" is responsible for developing and implementing data models that drive business growth. If you have a passion for experimenting with emerging AI trends and a strong analytical mindset, we encourage you to apply."),