Caylent · 9 hours ago
Machine Learning Architect - Not an Active Opening, Building Talent Pipeline
United States
Full-time
Hybrid
Senior Level
$140K/yr - $158K/yrCaylent 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.
Cloud ComputingCloud InfrastructureDevOpsIaaS
No H1B
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
Qualification
Required
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
Caylent
AWS Premier Partner for Cloud Native Services
Founded in 2015
501-1000 employees
Funding
Current Stage
Late StageTotal Funding
$16.21MKey Investors
Gryphon InvestorsEast Los Capital
2022-11-15Private Equity
2022-11-15Acquired
2021-09-27Private Equity· $16M
Leadership Team
JP La Torre
Advisor
Stephen Garden
Executive Chairman
Recent News
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