Position Details
About this role
This role involves leading the development of AI and ML applications, including generative AI and LLM-based systems, within a financial services context. The engineer will work on building scalable, production-grade AI solutions.
Key Responsibilities
- Develop AI/ML applications
- Implement LLM solutions
- Build RAG pipelines
- Deploy models in cloud
- Collaborate with cross-functional teams
Technical Overview
The technical environment includes Python, TensorFlow, PyTorch, cloud platforms, and data pipelines. The focus is on AI/ML model development, deployment, and integration with enterprise applications.
Ideal Candidate
The ideal candidate is a senior AI/ML engineer with experience in developing full stack AI applications, including large language models and retrieval-augmented generation pipelines. They should be proficient in Python and familiar with cloud deployment and data pipelines.
Must-Have Skills
Nice-to-Have Skills
Tools & Platforms
Required Skills
Hard Skills
Soft Skills
Industry & Role
Keywords for Your Resume
Deal Breakers
Lack of experience with AI/ML development, No experience with Large Language Models, No proficiency in Python, No experience with data pipelines
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