AWS Machine Learning Engineer

2 weeks ago

Hyderabad Secunderabad Telangana, India beBeeMachineLearning Full time ₹ 15,00,000 - ₹ 20,00,000

We are seeking an experienced AWS Sagemaker Developer to join our team.

A successful candidate will have a strong background in machine learning and data science, with 7+ years of experience in developing and testing models using Amazon SageMaker. They should also have hands-on experience deploying models via endpoints, batch transforms, and multi-model configurations.

The ideal candidate will be proficient in Python and ML frameworks such as TensorFlow, PyTorch, and scikit-learn. They should also have a strong grasp of end-to-end ML workflows and experience with AWS services including S3, CloudWatch, and Lambda.

This role involves collaborating with cross-functional teams to embed ML models in production applications. The candidate should be able to conduct A/B and shadow testing of new model versions, optimize training performance using Spot Training and hyperparameter tuning, and monitor model performance using SageMaker Model Monitor.

Additional skills and qualifications include:

  • Technical Skills
  • Proficiency in Python and ML frameworks (TensorFlow, PyTorch, scikit-learn)
  • Strong grasp of end-to-end ML workflows
  • Experience with AWS services (S3, CloudWatch, Lambda)
  • Hands-on with SageMaker Studio and notebooks
  • Familiarity with MLOps and model governance practices
  • Preferred Qualifications
  • Experience with SageMaker Autopilot, Feature Store, and Pipelines
  • Knowledge of Docker/containerization
  • Background in distributed computing and large-scale data handling
  • Real-time and batch inference experience
  • AWS ML/Data Science certifications

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