Data Driven Systems Engineer
23 hours ago
As a Senior MLOps Engineer, you will be responsible for productionizing models to ensure resilient services with clear Service Level Objectives (SLOs), runbooks, and fast, safe rollbacks.
Key Responsibilities:
- Productionize models from tracked experiments to governed releases.
- Build automation-first delivery using GitLab CI and Terraform-based Infrastructure as Code (IaC).
- Engineer scalable serving of batch and real-time inference on EKS/ECS/Lambda and Databricks Model Serving.
- Instrument end-to-end observability of data, model, and system; detect drift and regressions; lead incidents and post-mortems to drive durable fixes.
- Partner across teams to translate requirements into designs, Architecture Decision Records (ADRs), and change plans.
Requirements:
- Bachelor's degree in Computer Science, Engineering, Data Science, or a related field and 3+ years of relevant experience.
- 3+ years operating ML systems in production (MLOps).
- Experience with Python for ML engineering (packaging, typing, testing, performance).
- Experience developing GitLab CI for ML/GenAI (multi-stage pipelines, artifacts, evaluation/security gates) and Terraform for ML/GenAI (reusable modules, drift detection).
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