Lead ML Architect — AWS, Production-Ready ML at Scale

Jobtailor; California (MO); On-site; USD 140,000 - 200,000; Full time

Job summary

Jobtailor is seeking a Senior Machine Learning Engineer to design and implement scalable ML applications in a distributed environment. You will build production-grade data pipelines, advance ML model deployment, and collaborate with Product and Data Science teams.

The role emphasizes cloud-based architectures, responsible AI practices, and continuous integration/monitoring to ensure high availability and performance of ML systems.

Qualifications

• Bachelor’s Degree required.
• 6+ years designing and building data-intensive solutions using distributed computing.
• 4+ years programming with Python, Scala, or Java.
• 2+ years building, scaling, and optimizing ML systems.
• Master’s or Doctoral Degree in CS/EE/Math preferred.
• 3+ years building production-ready data pipelines for ML models preferred.
• No agencies please.

Responsibilities

• Participate in the detailed technical design, development, and implementation of ML applications.
• Focus on ML architectural design.
• Develop and review model and application code.
• Ensure high availability and performance of ML applications.
• Design, build, and deliver ML models and components with Product and Data Science teams.
• Inform ML infrastructure decisions including model choice, data/feature selection, training, and validation.
• Solve complex problems by writing and testing code, developing/validating ML models, and automating tests and deployment.
• Collaborate with cross-functional Agile team to enable big data and ML applications.
• Retrain, maintain, and monitor models in production.
• Leverage/build cloud-based architectures to deliver optimized ML models at scale.
• Construct optimized data pipelines feeding ML models.
• Apply CI/CD practices including test automation and monitoring.
• Ensure code governance and responsible/Explainable AI practices.

Skills

Machine Learning Architectural Design

Python Programming

Building Production-Ready Data Pipeli​

Cloud-Based Architectures

Continuous Integration and Deployment

Distributed Computing

Model Development

Hyperparameter Tuning

Model Validation

Agile Methodologies

Big Data Technologies

ML Frameworks

Data Science Tools

Education

Bachelor’s Degree

Master’s or Doctoral Degree in CS/EE/Math (preferred)

Tools

Cloud Platforms

ML Frameworks

Data Science Tools

Big Data Technologies

Agile Methodologies

Job description

Jobtailor is seeking a Senior Machine Learning Engineer to design and implement scalable ML applications in a distributed environment. You will build production-grade data pipelines, advance ML model deployment, and collaborate with Product and Data Science teams.

The role emphasizes cloud-based architectures, responsible AI practices, and continuous integration/monitoring to ensure high availability and performance of ML systems.