Senior Software Development Engineer

About this role

📋 Description Design, build, and maintain robust ML pipelines for both batch and real-time inference using tools Collaborate with Data Scientists, Engineers, and stakeholders to implement, monitor, and optimize Enhance and manage CI/CD pipelines for ML models, oversee model promotion and retraining workflows Lead the end-to-end delivery of ML features from architecture and implementation to monitoring and Support operational excellence by participating in on-call rotations, production incident response 🎯 Requirements 5+ years in the software industry, with at least 3+ years focused on ML engineering, pipelines, or Hands-on experience with AWS SageMaker Studio, Tecton, and proficiency in Python and ML frameworks Experience with experiment tracking (MLflow), orchestrating ML workflows (SageMaker Pipelines Familiarity with data preparation and streaming tools (Glue, EMR, Flink) for feature pipelines.

Solid understanding of CI/CD for ML (model deployment, endpoint configuration, validation) and 🎁 Benefits Paid time off Retirement savings (e.g., 401k, pension schemes) Bonus/incentive eligibility Equity grants Participation in employee stock purchase plan Competitive health benefits

Source listing: empllo_remote