Machine Learning Architect (AWS)

TL;DR

Machine Learning Architect (AWS): Designing and delivering scalable ML solutions on AWS with an accent on MLOps, system architecture, and cloud-native application development. Focus on translating complex customer requirements into actionable technical backlogs, mentoring engineering teams, and driving innovation through advanced ML system design.

Location: Must be based in the United States or Canada

Salary: $140,000–$157,500 per year

Company

hirify.global is a cloud-native services company specializing in AWS workload migrations, modernization, and data engineering solutions.

What you will do

• Lead requirements gathering, backlog grooming, and architecture discussions for customer projects.
• Translate customer requirements into actionable technical tickets and delegate tasks to engineering teams.
• Design and implement ML systems using Amazon SageMaker and various ML libraries.
• Apply DevOps principles including CI/CD, Infrastructure as Code, and automated testing.
• Troubleshoot and resolve issues across development, test, and production environments.
• Mentor peers and less experienced teammates while staying current with emerging technologies.

Requirements

• Must be based in the United States or Canada
• Expert-level experience with Amazon SageMaker and ML libraries like TensorFlow, PyTorch, or Scikit-learn.
• Strong understanding of ML concepts including feature engineering, hyperparameter tuning, and optimization.
• Proficiency with IaC tools such as Terraform, CloudFormation, or CDK.
• Experience with MLOps tools like MLflow, Neptune, or Comet.
• Ability to communicate complex technical concepts to non-technical stakeholders.
• No visa sponsorship available

Culture & Benefits

• Medical, dental, and vision insurance for employees and dependents.
• 401k plan with 4% company match and immediate vesting.
• Unlimited Paid Time Off and 10 paid holidays.
• Annual stipend for learning and development.
• Equipment and office stipend.
• Competitive phantom equity.