Machine Learning Architect - Not an Active Opening, Building Talent Pipeline
Core
Design and deliver AWS-based Machine Learning solutions for customers, bridging the gap between customer requirements and engineering execution.
Role type
Senior Machine Learning Architect (Consulting/Pre-sales)
Builds
Cloud-native ML applications and AWS solutions for enterprise customers
Domain
Cloud services, Generative AI, MLOps
Deliverable
production ML models | product features | client delivery
Required skills
ML system design, Amazon SageMaker, TensorFlow/PyTorch/Scikit-learn, MLOps tools (MLflow/Neptune/Comet), Infrastructure as Code (Terraform/CDK), Agile project management, requirements gathering, technical documentation
Preferred skills
Experience with CI/CD pipelines, automated testing strategies, mentoring engineers
Technologies
AWS, SageMaker, TensorFlow, PyTorch, Scikit-learn, MLflow, Neptune, Comet, Terraform, CDK, CloudFormation
Responsibilities
Guide customers and internal teams through Agile ceremonies, translate customer requirements into engineering backlogs, delegate tasks to engineering teams, lead architecture discussions, troubleshoot production environments, automate software testing, write production code, document designs and processes, mentor peers
Seniority
Senior, hands-on IC with leadership responsibilities
