Offer summary

Qualifications:

Expert level experience in Amazon SageMaker and ML libraries such as TensorFlow and PyTorch., Strong understanding of ML concepts including feature engineering and optimization strategies., Experience with Infrastructure as Code (IaC) tools like CloudFormation and Terraform., Excellent communication skills to convey complex technical concepts to non-technical audiences..

Key responsibilities:

Guide teams and customers through Agile ceremonies such as stand-ups and retrospectives.

Translate customer requirements into a backlog of actionable tickets for engineers.

Lead discussions on requirements gathering, backlog grooming, and architecture.

Automate software testing and troubleshoot issues in various environments.

Job description

Caylent is a cloud native services company that helps organizations bring the best out 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, DevOps, data engineering, security and compliance, and everything in between.

At Caylent, our people always come first. We are a global company and operate fully remote with employees in Canada, the United States, and Latin America. We celebrate the culture of each of our team members and foster a community of technological curiosity. Come talk to us to learn more about what it means to be a Caylien!

The Mission

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

Your Assignment

You will be a mission control specialist, guiding Cayliens and Customers alike through Agile ceremonies like stand-ups, retrospectives, and more.
You will translate customer requirements and into a workable backlog of tickets for engineers.
Delegate tickets to a team of engineers in order to complete customer projects.
Lead requirements gathering, backlog grooming, and architecture discussions.
Apply your understanding of DevOps pipelines, including build automation, branching strategies, CI/CD, Infrastructure as Code, security, monitoring, logging, and alerting.
Troubleshoot and resolve issues in customer dev, test, and production environments.
Automate software testing at multiple levels (component, configuration item, subsystem, system) and monitor results.
Write production quality code, including unit and integration tests.
Work with a team to deliver top-quality cloud native applications on AWS for customers.
Clearly communicate and 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 word-class team of engineers.
Coach and mentor less experienced teammates, coach and be mentored by world class engineers.

Your Qualifications

Core Consulting Qualifications

Customer Experience

Confidently addresses client questions and identifies gaps in requirements with proposed next steps.
Focus 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

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
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

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

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.

Required profile