Cloud Infrastructure Machine Learning Architect

17 hours ago


India Restored Cloud Full time

At Restored Cloud, we are seeking an experienced Cloud Infrastructure Machine Learning Architect to design and build cutting-edge tools, frameworks, and systems for efficient machine learning model training, deployment, and scaling.

The ideal candidate will have a strong background in cloud infrastructure, machine learning, and software development. Responsibilities include:

  • Designing and implementing scalable ML infrastructure on cloud platforms.
  • Developing and maintaining ML pipelines for data processing, model training, and inference.
  • Collaborating with data scientists and engineers to integrate ML workflows with existing systems.
  • Monitoring and ensuring the reliability, security, and performance of the ML infrastructure.
  • Adapting to new technologies and taking on new responsibilities in a fast-paced growing company.

To be successful in this role, you should have:

  • Experience with popular ML frameworks like TensorFlow, PyTorch, or JAX.
  • Knowledge of MLOps tools such as MLflow, Kubeflow, or Airflow.
  • Proficiency in containerization and orchestration tools (e.g., Docker, Kubernetes).
  • Strong programming skills in Python and familiarity with CI/CD pipelines.
  • Understanding of distributed training methods and hardware acceleration (e.g., GPUs, TPUs).
  • Worked with large language models (LLMs) and models over 10B parameters.
  • 5+ years of experience in Machine Learning, Systems Engineering, or a related field.

We offer a competitive salary range of $180,000 - $250,000 per year, depending on experience, as well as a comprehensive benefits package including health insurance, retirement planning, and paid time off.



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