AI Fullstack Python Developer (Hybrid)
Montreal 700, Canada
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Morgan Stanley
Discover how we help individuals, families, institutions and governments raise, manage and distribute the capital they need to achieve their goals.- Build proof of concepts and example code through which developers can leverage GenAI models to solve common problems or patterns to enable GenAI adoption at scale
- Develop prototypes to demonstrate model capabilities, advanced usage patterns.
- Collaborate with AI engineers to prioritize capabilities for firmwide platform roadmap
- Author best practices on the Generative AI ecosystem, when to use which tools, available models such as GPT, Llama, Hugging Face etc. and libraries such as Langchain, and Sematic Kernel.
- Troubleshoot customer adoption of genAI platform capabilities; update user documentation and provide feedback to platform engineering teams to improve future customer experience
- This is a customer-facing role and excellent soft communications skills are mandatory.
- Have an application developer mindset and build common, reusable solutions to scale Generative AI use cases using pre-trained models as well as fine-tuned models.
- Bachelorās or a masterās degree in computer science or related field, or equivalent job experience
- 5 to 15 years of experience in software engineering, design, and development
- Strong hands-on proficiency in Python libraries like numpy, opencv, scikit-learn, pandas, matplotlib, seaborn, etc.
- Understanding of AI/ML Lifecycle and basic understanding of systems like mlflow, Dataiku, databricks.
- Broad understanding of data engineering (SQL, NoSQL, Big Data), data governance, data privacy and security
- Demonstrated experience in DevOps, understanding of CI/ CD.Ā Hands on experience with managing code in code repositories such as Bit Bucket and GitHub.
- Exposure to cloud environments (Docker/Kubernetes) as a userĀ
- Interest in developing GenAI applications (production experience an advantage)
- Exposure to basic machine learning/deep learning concepts/librairies
- Understanding of how deep learning works, understanding of Machine Learning frameworks such as TensorFlow or PyTorch
- Ability to articulate technical concepts effectively to diverse audiences. Excellent communication skills.
- Strong desire and ability to influence development teams and help them adopt AI.
- Demonstrated ability to work effectively and collaboratively in a global organization, across time zones, and across organizations
- Experience working with application development teams to enable them to build AI based applications.
- Ability to create code samples to be shared with application teams.
- Experience working with cloud providers, preferably Azure, but also AWS, GCP
- 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 in a large, regulated industry such as Financial Services, Insurance etc.
- Experience building AI applications, preferably Generative AI and LLM based apps.
- Experience working with Generative AI development, embeddings, fine tuning of Generative AI models.
- Understanding of Model Ops/ ML Ops/ LLM Ops
WHAT YOU CAN EXPECT FROM MORGAN STANLEY:
We are committed to maintaining the first-class service and high standard of excellence that have defined Morgan Stanley for over 89 years. Our values - putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back - arenāt 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, youāll 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. Thereās 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-officesā 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.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index š°
Tags: Architecture AWS Azure Big Data Computer Science CX Databricks Data governance Deep Learning DevOps Docker Engineering GCP Generative AI GitHub GPT Kubernetes LangChain LLaMA LLMOps LLMs Machine Learning Matplotlib MLFlow NoSQL NumPy OpenCV Pandas Privacy Python PyTorch SageMaker Scikit-learn Seaborn Security SQL TensorFlow Vertex AI
Perks/benefits: Career development
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