Machine Learning Architect at Caylent

Argentina

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Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Cloud Computing, TechnologyIndustries

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)
Deep expertise in ML system design

Responsibilities

Guide Cayliens and Customers through Agile ceremonies like stand-ups, retrospectives, and more
Translate customer requirements 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 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 designs, processes, and procedures
Mentor peers, tackle new technologies, and learn from the team
Coach and mentor less experienced teammates, and coach and be mentored by world-class engineers

Skills

Key technologies and capabilities for this role

Machine LearningML System DesignAWSDevOpsCI/CDInfrastructure as CodeAgileData EngineeringSecurityMonitoringLogging

Questions & Answers

Common questions about this position

Is this position remote?

Yes, the company operates fully remote with employees in Canada, the United States, and Latin America.

What is the salary for this Machine Learning Architect role?

This information is not specified in the job description.

What key skills are required for this role?

The role requires deep expertise in ML system design, understanding of DevOps pipelines including CI/CD and Infrastructure as Code, experience leading Agile ceremonies, and the ability to write production quality code with unit and integration tests.

What is the company culture like at Caylent?

Caylent puts people first, celebrates the culture of each team member, fosters a community of technological curiosity, and emphasizes staying curious while mentoring and learning from a world-class team.

What makes a strong candidate for this Machine Learning Architect position?

A strong candidate has deep expertise in ML system design, excels in customer experience by addressing client questions and delivering actionable solutions, demonstrates strong collaboration skills, and is passionate about innovation, mentoring, and working in Agile environments.

Caylent

Cloud-native services for AWS solutions

About Caylent

Caylent offers cloud-native services that help organizations utilize Amazon Web Services (AWS) to improve their technology and workforce. The company specializes in building, scaling, and optimizing cloud solutions, serving clients from those just starting their cloud journey to those seeking advanced capabilities. Caylent stands out by using a co-delivery approach, working closely with clients to create tailored solutions while also teaching them to manage their cloud environments. Their goal is to accelerate time-to-value for clients through expert consulting and ongoing support.

Irvine, CaliforniaHeadquarters

2015Year Founded

$15.8MTotal Funding

GROWTH_EQUITY_VCCompany Stage

Enterprise Software, CybersecurityIndustries

501-1,000Employees

Benefits

Remote Work Options

Health Insurance

Company Equity

Long-Term Disability

401(k) Company Match

Unlimited Paid Time Off

Paid Sick Leave

Paid Holidays

Parental Leave

Professional Development Budget

Performance Bonus

Home Office Stipend

Flexible Work Hours

Equipment & Office Stipend

Conference Attendance Budget

Risks

Rapid AI evolution may outpace Caylent's capabilities despite its partnership with Anthropic.

East Los Capital's exit could impact Caylent's financial stability and growth initiatives.

MeteorAI's adoption may face challenges if enterprises hesitate to integrate new AI frameworks.

Differentiation

Caylent is a Kubernetes Certified Service Provider, enhancing its cloud-native service offerings.

The company has a strategic partnership with Anthropic to advance enterprise AI solutions.

Caylent's MeteorAI framework accelerates generative AI experimentation for enterprises.

Upsides

Caylent won three 2024 AWS Partner of the Year Awards, boosting its industry credibility.

The growing demand for cloud-native security aligns with Caylent's expertise in cloud solutions.

Rising hybrid cloud adoption offers Caylent opportunities in tailored migration and optimization services.

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