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Machine Learning Operations Specialist
3 weeks ago
We are seeking an experienced Machine Learning Operations professional with a proven track record of deploying, monitoring, and scaling machine learning models on cloud platforms.
- Deploy, monitor, and scale machine learning models on Amazon Web Services (AWS) or Google Cloud Platform (GCP).
- Design and maintain Continuous Integration/Continuous Deployment (CI/CD) pipelines for machine learning workflows using GitHub Actions or Jenkins.
- Develop and implement containerization and orchestration strategies with Docker and Kubernetes; manage infrastructure via Terraform or CloudFormation.
- Implement model registries, feature stores, and observability solutions using MLflow, Feast, Prometheus, and Grafana.
- Collaborate with data scientists to operationalize machine learning models for personalization, recommendations, and natural language processing tasks.
Required Skills:
- Proficient in Python and machine learning frameworks such as Scikit-learn, TensorFlow, and PyTorch.
- Knowledge of data pipelines including Airflow, Spark, and SQL.
Nice-to-Have:
- Experience with real-time machine learning serving, A/B testing, or media/recommender systems.
- Knowledge of experiment design and causal inference techniques.
- Familiarity with real-time machine learning serving using KFServing, Seldon, or Ray Serve.
Education and Qualifications:
- Bachelor's or Master's degree in Computer Science or a related field.