Unlock your potential as a "Data Model Architect"
Job Description
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Develop and implement advanced data models to drive business growth in areas such as customer service, compliance, fraud, and operational efficiency.
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Collaborate with cross-functional teams to design, build, and deploy scalable machine learning and natural language processing pipelines on cloud infrastructure.
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Required Skills & Qualifications
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* 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
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Nice-to-Haves
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* 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
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Soft Skills
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* 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
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"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."),