Senior Machine Learning Engineer

Job Summary

Seeking a full-time Senior Machine Learning Engineer to work in a hybrid environment, responsible for maturing and scaling machine learning infrastructure, ensuring the reliability and performance of ML models in production, and collaborating with cross-functional teams to deliver impactful ML solutions.

Key responsibilities

• Help architect and build a unified ML platform for model development, deployment, and monitoring
• Design and implement scalable ML pipelines and own the delivery of end-to-end MLOps solutions
• Manage and optimize AWS infrastructure for machine learning workloads while ensuring security and cost-effectiveness

Required qualifications

• 5+ years of experience in machine learning engineering, MLOps, or data engineering
• Strong proficiency in AWS or equivalent cloud platforms and experience with ML frameworks like TensorFlow or PyTorch
• Solid CI/CD experience, including designing and operating deployment pipelines
• Experience with infrastructure-as-code tools such as Terraform or CloudFormation
• Strong SQL skills and experience with data pipeline tooling like dbt or Snowflake