Machine Learning Architect

Overview

Caylent is a cloud native services company that helps organizations maximize the value of their people and technology using Amazon Web Services (AWS). We provide a full range of AWS services including workload migrations and modernization, cloud native application development, Dev Ops, data engineering, security and compliance, and more. We operate fully remote with employees in Canada, the United States, and Latin America.

At Caylent, our people come first. We celebrate the culture of each team member and foster a community of technological curiosity. We are a global company and welcome inquiries about joining the Caylent team.

We are seeking an exceptional Machine Learning Architect to join our growing Cloud Data Engineering team. The right candidate has deep expertise in ML system design and is passionate about working with customers, partners, and colleagues to drive innovation. Your mission is to work alongside Caylent’s Engineers, Engineering Managers, and Project Managers to deliver AWS solutions across our diverse customer base, using the latest technologies to help customers bring cutting-edge ideas to market.

• Provide guidance to Cayliens and customers through Agile ceremonies (stand-ups, retrospectives, etc.).
• Translate customer requirements into a workable backlog of tickets for engineers.
• Delegate tickets to a team of engineers to complete customer projects.
• Lead requirements gathering, backlog grooming, and architecture discussions.
• Apply understanding of Dev Ops pipelines, including build automation, branching strategies, CI/CD, Infrastructure as Code, security, monitoring, logging, and alerting.
• Troubleshoot and resolve issues in customer development, test, and production environments.
• Automate software testing at multiple levels and monitor results.
• Write production-quality code, including unit and integration tests.
• Work with a team to deliver high-quality cloud-native applications on AWS for customers.
• Clearly communicate and document designs, processes, and procedures.
• Demonstrate curiosity and mentor peers, tackle new technologies, and learn from our world-class team of engineers.
• Coach and mentor less experienced teammates and collaborate with world-class engineers.

Core Consulting Qualifications

Customer Experience

• Confidently address client questions and identify gaps in requirements with proposed next steps.
• Deliver clear, actionable solutions that meet client goals.
• Facilitate alignment across stakeholders or technical priorities and deliverables.
• Navigate differing perspectives with professionalism to ensure shared understanding and progress.

Communication

• Break down complex technical concepts for non-technical audiences in a clear, concise manner.
• Adapt communication style based on audience and context to improve clarity and decision-making.

Technical Qualifications

• Experience with IaC tools (Cloud Formation, CDK, Terraform).
• Expert-level experience in Amazon Sage Maker and ML libraries (Tensor Flow, MXNet, PyTorch, Scikit-learn).
• Strong understanding of ML concepts: feature engineering, hyperparameter tuning, optimization strategies.
• Familiarity with MLOps tools (MLflow, Neptune, Comet).

Benefits and Compensation

• Medical Insurance for you and eligible dependents
• 401k plan with company match up to 4% and immediate vesting
• Company-issued laptop
• Dental and Vision insurance
• Term Disability Insurance
• Term Life Insurance
• Flexible Spending Account
• Equipment & Office Stipend
• Annual stipend for Learning and Development
• Unlimited Paid Time Off
• 10 Paid Holidays

This role may require up to 25% travel, depending on business needs.

Base Salary Range: The expected base salary range for this position is $140,000 - $157,500 per year, commensurate with experience and qualifications.

Additional Compensation Components: In addition to the base salary, the compensation package may include bonuses, commissions, equity, and other incentives. The specific components will vary depending on the role and individual and/or company performance.

Note:

We’re unable to provide visa sponsorship now or at any time in the future.

At Caylent, we are committed to fair, transparent, and…