
Machine Learning Operations Specialist
1 day ago
Seeking an experienced Machine Learning Engineer to deploy, monitor and scale machine learning models on cloud platforms such as AWS or GCP.
Key Responsibilities:
- Deploy, monitor and scale machine learning models using cloud-native tools.
- Built and maintain continuous integration and deployment pipelines for machine learning workflows using GitHub Actions or Jenkins.
- Containerize and orchestrate workloads with Docker and Kubernetes; manage infrastructure via Terraform or CloudFormation.
- Implement model registries, feature stores and observability using MLflow or Prometheus.
- Collaborate with data scientists to operationalize machine learning models for personalization, recommendations or natural language processing.
- Proficient in Python, machine learning frameworks (Scikit-learn, TensorFlow, PyTorch) and data pipelines (Airflow, Spark, SQL).
- Bonus: experience with real-time machine learning serving, A/B testing or media/recommender systems.
Nice-to-Have Qualifications:
- Experience with subscription, media or recommender systems.
- Knowledge of experiment design and causal inference.
- Exposure to real-time machine learning serving (KFServing, Seldon, Ray Serve).
Education:
- Bachelor's or Master's degree in a relevant field.
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