[Remote] Machine Learning Architect - Not an Active Opening, Building Talent Pipeline

Note: The job is a remote job and is open to candidates in USA. Caylent is a cloud native services company that helps organizations bring the best out of their people and technology using Amazon Web Services (AWS). They are seeking an exceptional Machine Learning Architect to join their growing Cloud Native Applications team, where the candidate will work alongside engineers and project managers to deliver AWS solutions and drive innovation for diverse customers. 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 world-class team of engineers • Coach and mentor less experienced teammates, coach and be mentored by world class engineers Skills • 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) • 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 Benefits • Medical Insurance for you and eligible dependents • 401k plan with company match up to 4% and immediate vesting • Competitive phantom equity • Company issued laptop • Dental and Vision insurance • Term Disability Insurance • Term Life Insurance • Flexible Spending Account • Equipment & Office Stipend • Annual stipend for Learning and Development • Unlimited Paid Time Off • 10 Paid Holidays Company Overview • AWS Premier Partner for Cloud Native Services It was founded in 2015, and is headquartered in Irvine, California, USA, with a workforce of 501-1000 employees. Its website is Apply tot his job Apply tot his job Apply To this Job