Senior Artificial Intelligence/Machine Learning Engineer - Python

Role & responsibilities :

This position is responsible for Development and Technical Support with a high degree of customer service, technical expertise and timeliness with strong background in A.I., Machine Learning, Databricks and Python.

The primary purpose of the position is to develop and support Bank data solutions and Machine Learning/A.I. projects. Experience in Banking or Finance is desirable. The ideal candidate will have A.I./Machine Learning Development background with the ability to quickly adapt those skills to new environments. This position will work with Business units and the Technology Group. Occasional travel will be required.

- Develop cutting edge ML and AI solutions to help the business innovate

- Be involved in concept design, brainstorming, research, etc. required to create new solutions for consideration

- Resolve technical issues through debugging, research, and investigation

- Participate in performance/load tests, making recommendations to improve performance and scalability

- Provide timely and effective solutions to critical production issues

- Contribute to continuous integration and continuous deployment automation

- Document solutions and keep knowledgebase up to date to support efficiencies

Preferred candidate profile :

EDUCATION, EXPERIENCE & SKILLS :

- 2 years experience building Machine Learning models using Sklearn, TensorFlow or PyTorch

- 1+ years experience leveraging Large Language Models for business use cases including RAG and Agents

- 1+ year experience using Databricks for data orchestration and ML model development

- 2 years experience with relationships databases

- 2 years experience in AWS or other cloud

- Proficiency in designing and implementing cloud-based applications in AWS preferred

- Experience with serverless architecture is a plus

- Experience working with Linux shell scripting an asset

- Must have strong communication skills and be able present diagnostic, troubleshooting steps and conclusions to a varied audience

- Must be able to work with minimal supervision

- Demonstrated expertise in supporting large-scale systems

- Strong interpersonal and communication skills and ability to deal effectively in a team environment