Senior Software Development Engineer

📋 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