Job Title: Director of MLOps Engineering
Job Summary:
1.Proven experience in DevOps, MLOps, or Platform Engineering roles
2.Experience with Domino Data Lab for model management and deployment
3.Proficient with Cloud Infrastructure (ideally OCI): Compute, Object Storage, OCI Vault, VCN, and OKE (Oracle Kubernetes Engine)
Hands-on with:
Kubernetes, Docker, Terraform, Git, CI/CD
Python, Bash, shell scripting
ML pipeline tools: Airflow, MLflow, DVC
Familiarity with data drift monitoring tools: Evidently, Seldon Alibi, or equivalent
Knowledge of model packaging (ONNX, TorchServe, TensorFlow Serving)
Education requirements
Bachelor’s or Master’s in Computer Science, Engineering, Data Science, or related field
Certifications in OCI or Domino (preferred but not required)
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