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21 hours ago
**Job Title:** Machine Learning Infrastructure Specialist
">As a seasoned Machine Learning Operations (ML Ops) professional, you will be responsible for deploying, monitoring, and scaling ML models on cloud platforms. Key objectives include building and maintaining Continuous Integration/Continuous Deployment (CI/CD) pipelines for ML workflows using GitHub Actions or Jenkins, containerizing workloads with Docker and Kubernetes, and managing infrastructure via Terraform or CloudFormation.
**Key Responsibilities Include:
- Deploy, monitor, and scale ML models on AWS (SageMaker, EKS, Lambda) or GCP (Vertex AI, GKE, Cloud Functions).
- Build and maintain CI/CD pipelines for ML workflows using GitHub Actions / Jenkins / cloud-native tools.
- Containerize and orchestrate workloads with Docker & Kubernetes; manage infra via Terraform/CloudFormation.
- Implement model registries, feature stores, and observability using MLflow, Feast, Prometheus/Grafana.
- Collaborate with data scientists to operationalize ML models for personalization, recommendations, NLP.
- Proficient in Python, ML frameworks (Scikit-learn, TensorFlow, PyTorch) and data pipelines (Airflow, Spark, SQL).
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