Python Flask Developer Jobs in Quebec (NOW HIRING)

We are currently looking to fill multiple GenAI engineering roles across the Montreal office. The firm is heavily investing in Montreal as an AI location with roles ranging from chatbot engineering, AI solution and platform engineering to data engineering for AI projects.

Different teams are hiring for various levels of experience, so whether you are only starting out, have been doing the role for a few years or you are leading a team, we want to speak with you!

Since 1935, Morgan Stanley is known as a global leader in financial services, always evolving and innovating to better serve our clients and our communities in more than 40 countries around the world.

Interested in joining a team that's eager to create, innovate and make an impact on the world? Read on...

What you will bring to the role

All of our potential candidates should have, at minimum, the following:

• Bachelor's or a master's degree in computer science or related field, or equivalent job experience

• Deep experience (4+ years) with Python coding and development

• Demonstrated knowledge and interest in Generative Artificial Intelligence / LLMs, model training, fine tuning and related APIs

• Solid understanding of NLP and Artificial Intelligence / Machine Learning concepts

• Strong background in Linux

Things to highlight on your resume

While these are not required, we are very interested in speaking with people who have exposure to the following items. Do not hesitate to highlight them on your resume!

• Experience with Flask, Django and/or FastAPI

• Strong hands-on proficiency in Python libraries like numpy, opencv, scikit-learn, pandas, matplotlib, seaborn, etc.

• Experience building applications using AI development services on prominent cloud platforms such as Azure Open AI, Azure AI Foundry, Azure Search, Azure Cognitive Services, AWS Bedrock, AWS Sagemaker, Google Vertex AI

• Experience working with Generative AI development, embeddings, fine tuning of Generative AI models.

• Understanding of Model Ops/ ML Ops/ LLM Ops

• Understanding of AI/ML Lifecycle and basic understanding of systems like mlflow, Dataiku, databricks.

• Understanding of Machine Learning frameworks such as TensorFlow or PyTorch

• Broad understanding of data engineering (SQL, NoSQL, Big Data), data governance, data privacy and security

• Experience with JavaScript and Node.js and other software development frameworks and libraries

• Demonstrated experience in DevOps, understanding of CI/ CD.

• Hands on experience with managing code in code repositories such as Bit Bucket and GitHub

• Experience designing, creating, and interfacing with Virtual Agents using Amelia, Kore.ai, Microsoft Copilot Studio or similar platform

• Sourcing and labeling training data for ML models

• Exposure to cloud environments (Docker/Kubernetes) as a user

• Experience with cloud platforms such as AWS and Azure

• Experience working with application development teams to enable them to build AI based applications

• Ability to create code samples to be shared with application team

• Experience working in a large, regulated industry such as Financial Services, Insurance etc.

At Morgan Stanley Montreal, we support the Firm's global businesses and infrastructure with cutting edge technology and innovation. The multi-faceted and highly technical Montreal team plays a critical role in building and maintaining our leading technology platform, including electronic trading, algorithm trading, data analytics, cloud engineering, cybersecurity and digital technologies. Morgan Stanley has been rooted in the Montreal community since 2008 and is considered a leading employer among the area's highly skilled technology talent.

Knowledge of French and English is required.