机器学习架构师 - 非活跃职位，人才储备

Caylent is an AI-first cloud services company that helps organizations turn ambitious ideas into meaningful business impact. As an AWS Premier Tier Services Partner and a charter member of Anthropic’s Claude Partner Network, we combine deep expertise in AWS, artificial intelligence, and Anthropic’s Claude platform to help customers modernize their technology, build intelligent products, and move AI from experimentation into production.

Our capabilities span generative and agentic AI, cloud migration and modernization, cloud-native application development, data and analytics, DevOps, managed services, security and compliance, and customer experience transformation. At Caylent, our people always come first.

We are a fully remote global company 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!

Note: This isn’t an active role right now, but we’re building a community of great talent for future opportunities at Caylent. If your background aligns with what we’re looking for, our team may reach out to learn more about you and explore potential future fits.

We are seeking an exceptional Machine Learning Architect to join our growing Cloud Native Applications 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.

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.

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

Facilitates alignment across stakeholders or technical priorities and deliverables.

Navigates differing perspectives with professionalism to ensure shared understanding and progress.

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.

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).

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

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.

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 .Originally posted on Himalayas

- Ability to work collaboratively with engineers, engineering managers, and project managers