Senior Mlops Engineer, Vp – Machine Learning Platform Runtime Environments (Toronto)

What We Do
At Goldman Sachs, our Engineers don’t just make things – we make things possible. Change the world by connecting people and capital with ideas. Solve the most challenging and pressing engineering problems for our clients. Join our engineering teams that build massively scalable software and systems, architect low latency infrastructure solutions, proactively guard against cyber threats, and leverage machine learning alongside financial engineering to continuously turn data into action. Create new businesses, transform finance, and explore a world of opportunity at the speed of markets.
Engineering, which is comprised of our Technology Division and global strategists’ groups, is at the critical center of our business, and our dynamic environment requires innovative strategic thinking and immediate, real solutions. Want to push the limit of digital possibilities? Start here.
Who We Look For
Goldman Sachs Engineers are innovators and problem-solvers, building solutions in risk management, big data, mobile and more. We look for creative collaborators who evolve, adapt to change and thrive in a fast-paced global environment.
We are seeking a talented and experienced MLOps Engineer to join our Data Science and Machine Learning Platform team to focus on the build out of our containerized ML Runtime environments. These environments ensure that Data Scientists and ML Engineers from across the firm can rapidly provision fully functional environments with the latest and greatest frameworks to build and deploy their models. This is an incredible opportunity to drive impactful and high-profile business value while working with the latest and greatest ML/AI frameworks and technologies.
Key Responsibilities

• Utilize your proficiency in Unix-based systems to ensure ML/AI software/frameworks function as intended
• Leverage MLOps and CI/CD best practices to implement fully automated build and deploy processes
• Create example notebooks that demonstrate how to effectively leverage the ML/AI software provided within the runtime environment
• Remain up to date with the latest advancements in ML/AI frameworks to incorporate industry leading solutions into the runtime environment development.
• Mentor junior engineers on MLOps best practices and the intricacies of the various ML/AI software/frameworks
• Collaborate with business customers, external open-source Data Science & Machine Learning frameworks and other core engineering team across GS to design and implement containerized runtime environments that enable efficient model development and deployment for ML/AI models, firmwide

Basic Qualifications

• 1+ years of experience building and maintaining containerized runtime environments supporting GPUs (e.g. CUDA)
• 2+ years of experience with Unix-based systems
• 2+ years of experience building and maintaining containerized runtime environments for Data Science and Machine Learning (e.g. PyTorch, TensorFlow)
• 2+ years of experience in Python programming for Machine Learning and/or application development
• 2+ years of experience building automated CI/CD pipelines for containers

Preferred Qualifications

• Prior experience in building containerized runtime environments and frameworks such as Jax, TensorRT, Onnx, DeepSpeed and Horovod
• Experience with infrastructure-as-code tools, such as Terraform or CloudFormation
• Strong problem-solving skills and the ability to work effectively in a fast-paced and collaborative environment.
• Experience running containers in the public cloud (e.g. AWS, GCP)
• Experience with Kubernetes and other container orchestration platforms.
• Excellent communication skills and the ability to articulate complex technical concepts to both technical and non-technical stakeholders.

About Goldman Sachs
At Goldman Sachs, we commit our people, capital, and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world.
We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs. Learn more about our culture, benefits, and people at GS.com/careers.
We’re committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. Learn more: https://www.goldmansachs.com/careers/footer/disability-statement.html
© The Goldman Sachs Group, Inc., 2023. All rights reserved.
Goldman Sachs is an equal employment/affirmative action employer Female/Minority/Disability/Veteran/Sexual Orientation/Gender Identity