Advanced AI Model Architect

1 day ago


Kolkata, West Bengal, India beBeeMachine Full time ₹ 1,80,00,000 - ₹ 2,20,00,000
Job Description

We are seeking a skilled professional to drive the development and deployment of end-to-end machine learning pipelines on AWS SageMaker.

Key Responsibilities:
  • Develop, train, and deploy robust ML models in production environments using AWS SageMaker.
  • Collaborate with data scientists to translate complex algorithms into scalable code.
  • Manage the entire machine learning lifecycle, including data ingestion, model training, validation, and deployment.
  • Implement best practices for MLOps to automate workflows and ensure model performance and reliability.
  • Optimize ML models for performance, scalability, and cost efficiency on the AWS platform.
Required Skills and Qualifications:
  • Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
  • 3+ years of experience in a machine learning or data science role.
  • Hands-on experience with AWS services, specifically SageMaker.
  • Proficiency in Python and standard ML libraries (e.g., scikit-learn, TensorFlow, PyTorch).
  • Experience with containerization technologies like Docker.
  • Solid understanding of MLOps principles and tools for CI/CD.
  • Knowledge of data engineering principles and experience with big data technologies (e.g., Spark, Hadoop).

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