Gen Al & Data Science Engineer

Job Summary

We are seeking a highly experienced Generative AI & Data Science Engineer to lead the design, development, and deployment of cutting-edge AI-driven solutions. The ideal candidate will have deep technical expertise in Azure OpenAI, Azure AI Services, machine learning, and advanced analytics, with a proven track record of building intelligent, scalable systems for enterprise and financial use cases.

Key Responsibilities

• Design and implement Generative AI applications leveraging Azure OpenAI and Azure AI Foundry services.
• Develop and integrate RAG (Retrieval-Augmented Generation) pipelines using vector databases, text vectorization, and embedding models.
• Build and optimize end-to-end machine learning pipelines including data ingestion, preprocessing, model training, deployment, and monitoring.
• Apply Agentic frameworks such as LangChain, CrewAI, A2A, or similar to build multi-agent reasoning systems.
• Implement predictive analytics and ML models focused on financial services, including risk modeling, forecasting, anomaly detection, and data-driven decision support.
• Collaborate closely with business stakeholders to translate analytical insights into actionable strategies.
• Ensure scalability, performance, and cost-efficiency of deployed AI solutions within Azure Cloud environments.
• Research and evaluate emerging AI tools, LLM-based frameworks, and MLOps best practices.
• Lead and mentor junior data scientists and AI engineers in solution development and architectural design.

Job Type: Full-time

Application Question(s):

• What is your native language?

Experience:

• Gen Al & Data Science Engineer: 10 years (Preferred)