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.
WHAT YOU CAN EXPECT FROM MORGAN STANLEY:
At Morgan Stanley, we raise, manage and allocate capital for our clients – helping them reach their goals. We do it in a way that’s differentiated – and we’ve done that for 90 years. Our values - putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back - aren’t just beliefs, they guide the decisions we make every day to do what's best for our clients, communities and more than 80,000 employees in 1,200 offices across 42 countries. At Morgan Stanley, you’ll find an opportunity to work alongside the best and the brightest, in an environment where you are supported and empowered. Our teams are relentless collaborators and creative thinkers, fueled by their diverse backgrounds and experiences. We are proud to support our employees and their families at every point along their work-life journey, offering some of the most attractive and comprehensive employee benefits and perks in the industry. There’s also ample opportunity to move about the business for those who show passion and grit in their work.
To learn more about our offices across the globe, please copy and paste https://www.morganstanley.com/about-us/global-offices into your browser.
Morgan Stanley is an equal opportunities employer. We work to provide a supportive and inclusive environment where all individuals can maximize their full potential.
Skills Required
- Bachelor's or master's degree in computer science or related field, or equivalent job experience
- Deep experience (4+ years) with Python coding and development
- Demonstrated knowledge of 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
Morgan Stanley Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Morgan Stanley and has not been reviewed or approved by Morgan Stanley.
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Parental & Family Support — Family support is extensive, with paid parental leave for all parents, adoption and fertility assistance, backup childcare, and eldercare resources. Feedback suggests these programs meaningfully enhance the overall package and help with retention.
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Healthcare Strength — Health coverage spans medical, dental, vision, mental‑health access, care navigation, and expert second opinions. Convenient primary care access and condition‑specific support reinforce the depth of healthcare coverage.
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Equity Value & Accessibility — Equity compensation and stock ownership are positioned as core motivators that encourage commitment and retention. Feedback suggests education and support are provided to help participants manage equity and related financial benefits.
Morgan Stanley Insights
What We Do
Morgan Stanley mobilizes capital to help governments, corporations, institutions and individuals around the world achieve their financial goals. For over 85 years, the firm’s reputation for using innovative thinking to solve complex problems has been well earned and rarely matched. A consistent industry leader throughout decades of dramatic change in modern finance, Morgan Stanley will continue to break new ground in advising, serving and providing new opportunities for its clients. Morgan Stanley is committed to maintaining the first-class service and high standard of excellence that have always defined the firm. At its foundation are five core values — putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back — that guide its more than 60,000 employees in 1,200 offices across 41 countries.
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