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)
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