
Cloud Engineer
24 hours ago
Cloud Engineer (Machine Learning Operations)
">As a seasoned Cloud Engineer with expertise in Machine Learning Operations, you will be responsible for designing and implementing scalable cloud architectures to deploy, monitor, and maintain machine learning models on leading platforms. Your key responsibilities will include creating efficient CI/CD pipelines using GitHub Actions or Jenkins, containerizing workloads with Docker, and managing infrastructure via Terraform or CloudFormation.
">Required Skills & Qualifications:
">- Proficient in Python programming language and its applications in machine learning frameworks such as Scikit-learn, TensorFlow, and PyTorch">
- Familiarity with data pipelines like Airflow, Spark, and SQL">
- Hands-on experience with cloud-native tools for building and deploying containerized applications on AWS (SageMaker, EKS, Lambda) or GCP (Vertex AI, GKE, Cloud Functions)">
- Strong understanding of model registries, feature stores, and observability using MLflow, Feast, Prometheus/Grafana">
- Collaborative mindset to work closely with data scientists to operationalize machine learning models for personalization, recommendations, NLP, and other applications">
Nice-to-Have:
">- Experience with real-time machine learning serving, A/B testing, or media/recommender systems">
- Knowledge of experiment design and causal inference">
- Exposure to leading-edge technologies like KFServing, Seldon, and Ray Serve">
Education:
">- Bachelor's or Master's degree in Computer Science, Engineering, or related field">
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