Machine Learning Architect

Summary

Join Caylent, a cloud native services company, as a Machine Learning Architect and be part of 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, troubleshoot issues, automate software testing, and write high-quality code. Collaborate with a team to deliver top-tier cloud native applications on AWS, and clearly communicate your designs. Mentor less experienced teammates and continuously learn from our world-class engineering team. This role requires deep expertise in ML system design and a passion for innovation. The position offers a competitive salary and benefits package.

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

• Guide Cayliens and Customers alike through Agile ceremonies like stand-ups, retrospectives, and more
• 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
• 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

• 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