AI Infrastructure Development Role

6 days ago

kottayam, India beBeeInfrastructure Full time

Job Title: AI Infrastructure EngineerPrior experience working with AI/ML operations and data science is required.The role involves deploying, monitoring, and scaling AI models on cloud platforms like AWS or GCP.Building and maintaining CI/CD pipelines for AI workflows using GitHub Actions, Jenkins, or cloud-native tools is necessary.Containerization and orchestration of workloads with Docker and Kubernetes, as well as infrastructure management via Terraform or CloudFormation, are also part of the job.Implementing model registries, feature stores, and observability using tools like MLflow, Feast, Prometheus, or Grafana is a must.Collaboration with data scientists to operationalize AI models for personalization, recommendations, or NLP is required.Familiarity with Python, AI frameworks (Scikit-learn, TensorFlow, PyTorch), and data pipelines (Airflow, Spark, SQL) is essential.Bonus points are given for experience with real-time AI serving, A/B testing, or media/recommender systems.Nice-to-have qualifications include knowledge of experiment design and causal inference, as well as exposure to real-time AI serving.The ideal candidate should have a Btech/Mtech degree in a relevant field.

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    kottayam, India beBeeInfrastructure Full time

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    kottayam, India beBeeCloudDevopsEngineer Full time

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