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3 days ago
We are seeking a seasoned Machine Learning Operations Specialist to lead the deployment, monitoring, and scaling of ML models on cloud platforms. Prior experience working with machine learning operations and data science is essential.
Key Responsibilities:
- Deploy, monitor, and scale ML models on cloud platforms (AWS or GCP).
- Build and maintain CI/CD pipelines for ML workflows using GitHub Actions or cloud-native tools.
- Containerize and orchestrate workloads with Docker and Kubernetes; manage infrastructure via Terraform or CloudFormation.
- Implement model registries, feature stores, and observability using MLflow, Feast, or Prometheus/Grafana.
Required Skills:
- Proficient in Python and machine learning frameworks (Scikit-learn, TensorFlow, PyTorch).
- Knowledgeable about data pipelines (Airflow, Spark, SQL).
Bonus Requirements:
- Experience with real-time ML serving, A/B testing, or media/recommender systems.
Nice-to-Have:
- Knowledge of experiment design and causal inference.
- Exposure to real-time ML serving (KFServing, Seldon, Ray Serve).
Education:
- Bachelor's or Master's degree in a relevant field.
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