Machine Learning Architect

Machine Learning Architect at Caylent

Caylent is a cloud native services company dedicated to helping organizations maximize the potential of their people and technology through Amazon Web Services (AWS). We offer a comprehensive suite of AWS services, including workload migrations, modernization, cloud native application development, DevOps, data engineering, security, compliance, and more.

At Caylent, our team members are our top priority. We operate as a global, fully remote company with employees spanning Canada, the United States, and Latin America. We celebrate the diverse cultures of our team members and cultivate a community driven by technological curiosity. We invite you to connect with us to discover what it means to be a Caylien!

Note: This is not an active role at present, but we are actively building a pipeline of exceptional talent for future opportunities at Caylent. If your qualifications align with our needs, our team may contact you to learn more about your experience and explore potential future fits.

The Mission

We are seeking an outstanding Machine Learning Architect to join our expanding Cloud Native Applications team. The ideal candidate possesses profound expertise in ML system design and is enthusiastic about collaborating with our customers, partners, and colleagues to propel innovation. Your mission will involve working closely with Caylent’s Engineers, Engineering Managers, and Project Managers to deliver sophisticated AWS solutions to our diverse and forward-thinking customer base. You will engage with the latest technologies and support clients aiming to bring pioneering ideas to market.

Your Assignment

• You will serve as a mission control specialist, guiding Cayliens and Customers through Agile ceremonies such as stand-ups, retrospectives, and more.
• Translate customer requirements into a practical backlog of tickets for engineers.
• Delegate tickets to a team of engineers to successfully complete customer projects.
• Lead requirements gathering, backlog grooming, and architecture discussions.
• Apply your deep understanding of DevOps pipelines, including build automation, branching strategies, CI/CD, Infrastructure as Code, security, monitoring, logging, and alerting.
• Troubleshoot and resolve issues across customer development, testing, and production environments.
• Automate software testing at multiple levels (component, configuration item, subsystem, system) and monitor results.
• Write production-quality code, including comprehensive unit and integration tests.
• Collaborate with a team to deliver top-tier cloud native applications on AWS for customers.
• Clearly communicate and meticulously document your designs, processes, and procedures.
• You will demonstrate a passion to ‘Stay Curious’ as you mentor peers, tackle new technologies, and learn from our world-class team of engineers.
• Coach and mentor less experienced teammates, while also benefiting from mentorship by world-class engineers.

Your Qualifications

Core Consulting Qualifications

Customer Experience

• Confidently addresses client questions and identifies gaps in requirements with proposed next steps.
• Focuses on delivering clear, actionable solutions that meet client goals.

Collaboration

• Facilitates alignment across stakeholders or technical priorities and deliverables.
• Navigates differing perspectives with professionalism to ensure shared understanding and progress.

Communication

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

Technical Qualifications

• Extensive experience with IaC tools (CloudFormation, CDK, Terraform).
• Expert-level experience in Amazon SageMaker and ML libraries (TensorFlow, MXNet, PyTorch, Scikit-learn).
• Strong understanding of ML concepts: feature engineering, hyperparameter tuning, optimization strategies.
• Familiarity with MLOps tools (MLflow, Neptune, Comet).

Benefits

• 100% remote work.
• Medical Insurance for you and eligible dependents.
• Generous holidays and flexible PTO.
• Competitive phantom equity.
• Paid for exams and certifications.
• Peer bonus awards.
• State-of-the-art laptop and tools.
• Equipment & Office Stipend.
• Individual professional development plan.
• Annual stipend for Learning and Development.
• Work with an amazing worldwide team and in an incredible corporate culture.

Compensation

Base Salary Range: The expected base salary range for this position is CAD $152,000 - $171,000 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.

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

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 inclusive hiring practices. As part of our recruitment process, we may use artificial intelligence (AI) tools or automated systems to assist with the screening and evaluation of applications to help match candidate qualifications with job requirements.

These tools are designed to support — not replace — human decision-making. Final hiring decisions are always made by our trained recruitment professionals.

If an AI or automated tool is used during your application process, it will only be in accordance with applicable laws and regulations, and your information will be handled in a secure and confidential manner.

If you have any questions, please contact talent@caylent.com

Caylent is a place where everyone belongs. We celebrate diversity and are committed to creating an inclusive environment for all employees. Our approach helps us to build a winning team that represents a variety of backgrounds, perspectives, and abilities. So, regardless of how your diversity expresses itself, you can find a home here at Caylent.

We are proud to be an equal opportunity employer. We prohibit discrimination and harassment of any kind based on race, color, religion, national origin, sex (including pregnancy), sexual orientation, gender identity, gender expression, age, veteran status, genetic information, disability, or other applicable legally protected characteristics. If you would like to request an accommodation due to a disability, please contact us at hr@caylent.com.

Key skills/competency

• Machine Learning System Design
• AWS Cloud Services
• DevOps Pipelines
• Infrastructure as Code (IaC)
• Amazon SageMaker
• TensorFlow/PyTorch
• ML Concepts
• MLOps Tools
• Client Consulting
• Technical Leadership