Senior Machine Learning Engineer

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