Our client started as a secret lab for real world Artificial Intelligence applications at one of Canada's largest banks. The team rapidly proved the technology's potential by building and deploying one of the world's first successful machine learning systems for retail banking.
Since then they have developed new relationships with Executives from the world's largest organizations, helping them advance their ability to translate AI's potential into sustainable business solutions.
Our client is on the hunt for a Solutions Architect to help their clients reach new heights with machine learning. You will lead the design of enterprise AI systems. Fusing technical finesse with industry experience, the Solutions Architect will play a critical role ensuring their clients' success by integrating cutting-edge technologies in the data and machine learning space within enterprise environments.
The person in this role will also collaborate closely with other development teams to help shape their proprietary AI platform. As part of a vibrant and growing team, you will be at the forefront of the AI revolution.
What will you do?
Lead the design of client enterprise systems using Dessa's core products for machine learning development and deployment Collaborate with other architects and engineers to implement and deploy scalable, highly-available and resilient solutions Engage closely with our clients to ensure our solutions exceed their expectations on all fronts Present detailed technical information and decisions to internal and external teams verbally and in writing Provide subject-matter expertise in areas of systems engineering and enterprise IT systems for our internal teams, including Enterprise Solutions, Product Management, Product Engineering and Machine Learning Interact closely with Product Engineering teams to help guide product direction What do you need to succeed?
7+ years proven experience in a technical design and development role 2+ years progressive leadership experience directing high visibility initiatives Experience delivering data products and solutions Experience with enterprise data systems such as data warehouses and data lakes An Engineering, Computer Science, Physics, Math or similar degree Strong technical and creative problem solving abilities, with a preference for fast design iterations Nice to have:
Experience delivering solutions at scale using cloud or on-premise infrastructure (AWS, Google Cloud, Microsoft Azure or enterprise datacenters) Knowledge of tools integral to continuous delivery and continuous integration such as Docker, Puppet, Chef, Ansible, Kubernetes, Mesos, Jenkins or TeamCity Experience working for high-growth technology companies Demonstrable machine learning, data science, or data engineering knowledge What's in it for you?