A Career in Machine Learning Infrastructure

7 days ago


coimbatore, India beBeeMachineLearning Full time

Machine Learning Infrastructure EngineerPrior experience working with machine learning infrastructure is required.Key responsibilities include deploying, monitoring and scaling machine learning models on cloud platforms (AWS or GCP), building and maintaining continuous integration/continuous deployment pipelines for machine learning workflows using GitHub Actions/Jenkins/cloud-native tools, containerizing and orchestrating workloads with Docker/Kubernetes and managing infrastructure via Terraform/CloudFormation.The ideal candidate will also implement model registries, feature stores, and observability using MLflow/Feast/Prometheus/Grafana, collaborate with data scientists to operationalize machine learning models for personalization, recommendations, and natural language processing tasks, and be proficient in Python, machine learning frameworks (Scikit-learn/TensorFlow/PyTorch) and data pipelines (Airflow/Spark/SQL).Bonus points for experience with real-time machine learning serving, A/B testing, or media/recommender systems. Nice-to-have: knowledge of experiment design & causal inference and exposure to real-time machine learning serving (KFServing/Seldon/Ray Serve). Education:Btech/Mtech required.



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