Machine Learning Architect

Summary

Join Caylent, a cloud native services company, as a Machine Learning Architect and contribute to our growing Cloud Data Engineering team. You will guide Cayliens and customers through Agile ceremonies, translate customer requirements into actionable tickets, delegate tasks to engineers, and lead requirements gathering and architecture discussions. Leverage your expertise in DevOps pipelines, troubleshooting, automation, and coding to deliver high-quality cloud native applications on AWS. Mentor less experienced teammates and stay curious by tackling new technologies. This role requires strong communication, collaboration, and technical skills, including experience with IaC tools, Amazon SageMaker, and ML libraries.

Requirements

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

Responsibilities

• 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

Benefits

• Pay in USD
• 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