
ML Model Deployment Specialist
6 days ago
We are seeking an experienced Machine Learning Operations Engineer to join our team. The successful candidate will be responsible for deploying, monitoring, and scaling ML models on cloud platforms such as AWS and GCP.
Responsibilities:- Deploy, Monitor, and Scale ML Models
- Build and maintain CI/CD pipelines for ML workflows using GitHub Actions or Jenkins.
- Containerize and orchestrate workloads using Docker and Kubernetes.
- Implement model registries and feature stores using MLflow and Feast.
- Collaborate with data scientists to operationalize ML models.
- Technical Requirements
- Proficient in Python programming language.
- Knowledgeable in machine learning frameworks (Scikit-learn, TensorFlow, PyTorch).
- Experienced in data pipelines (Airflow, Spark, SQL).
- Experience with real-time ML serving, A/B testing, or media/recommender systems.
- Experience with subscription, media, or recommender systems.
- Knowledge of experiment design & causal inference.
- Exposure to real-time ML serving (KFServing, Seldon, Ray Serve).
Bachelor's or Master's degree required in Computer Science or related field.
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