
Senior Machine Learning Operations Specialist
2 days ago
Transforming Business with Machine Learning Expertise
About the RoleWe are seeking a seasoned ML Ops professional to deploy, monitor, and scale machine learning models on cloud platforms. Your expertise will drive our company forward.
Key Responsibilities:- Develop and manage CI/CD pipelines using GitHub Actions, Jenkins, or cloud-native tools.
- Containerize and orchestrate workloads with Docker and Kubernetes, managing infrastructure via Terraform or CloudFormation.
- Implement model registries, feature stores, and observability using MLflow, Feast, Prometheus, and Grafana.
- Collaborate with data scientists to operationalize ML models for personalization, recommendations, and NLP.
- Proficiency in Python and popular ML frameworks (Scikit-learn, TensorFlow, PyTorch).
- Experience with data pipelines (Airflow, Spark, SQL) and containerization (Docker, Kubernetes).
- Familiarity with cloud platforms (AWS, GCP) and their respective services (SageMaker, Vertex AI).
- Knowledge of experiment design and causal inference.
- Experience with real-time ML serving, A/B testing, or media/recommender systems.
- Knowledge of experiment design and causal inference.
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