Hybrid AI Engineering

Position: Hybrid AI Engineering Role
Join Iris Software's client as an AI Engineer in Toronto's hybrid work environment. You'll engage in developing cutting-edge AI/ML applications to support financial technologies.

This hybrid position at a top bank in Toronto requires expertise in scalable application design using AI frameworks such as Tensor Flow and Keras. You will collaborate with teams to develop backend services, optimize data workflows using PostgreSQL, and implement advanced solutions in AI and machine learning. Emphasizing collaboration and innovation, your role will focus on deploying production-grade systems.

Key Responsibilities:

• Develop scalable AI/ML applications using Python

• Build and support backend services and RESTful APIs

• Optimize ETL workflows and data processing technologies

• Implement AI solutions in Retrieval-Augmented Generation

• Work with teams to deploy reliable generative AI solutions

Requirements:

• Proficient in Python and AI frameworks

• Experience with PostgreSQL and data management

• Skilled in FastAPI, Django, or Flask

• Familiarity with NLP and multi-agent systems

• Commitment to hybrid work model with onsite presence

Use your skills to impact the banking industry with innovative AI solutions.
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