Machine Learning Infrastructure Specialist

1 week ago

bareilly, India beBeeInfrastructure Full time

Job Title:Machine Learning Infrastructure Engineer(HR):Prior to this role, you should have experience working with machine learning infrastructure and data science for more than 2 years.(HR) The responsibilities and required skills include:1. Deploying, monitoring, and scaling ML models on cloud platforms (AWS, GCP).2. Building and maintaining continuous integration and continuous deployment pipelines for ML workflows using GitHub Actions, Jenkins or cloud-native tools3. Containerizing and orchestrating workloads with Docker and Kubernetes; managing infrastructure via Terraform or CloudFormation4. Implementing model registries, feature stores and observability using MLflow, Feast, Prometheus or Grafana5. Collaborating with data scientists to operationalize ML models for personalization, recommendations and natural language processing6. You must be proficient in Python, ML frameworks (Scikit-learn, TensorFlow, PyTorch), and data pipelines (Airflow, Spark, SQL)7. Bonus points for experience with real-time ML serving, A/B testing, or media/recommender systems8. Nice-to-have:1. Experience with subscription, media, or recommender systems2. Knowledge of experiment design and causal inference3. Exposure to real-time ML serving (KFServing, Seldon, Ray Serve)9. Education: Btech/Mtech

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    2 weeks ago

    bareilly, India beBeeInternship Full time

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    bareilly, India beBeeMachineLearning Full time

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    bareilly, India beBeeMachineLearning Full time

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    bareilly, India beBeeDataScientist Full time

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    bareilly, India beBeeInfrastructure Full time

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    bareilly, India beBeeDataPipeline Full time

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    bareilly, India beBeeDataAnalysis Full time

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    bareilly, India beBeeMachineLearning Full time

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    bareilly, India beBeeMachineLearning Full time

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    bareilly, India beBeeArtificialIntelligence Full time

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