Machine Learning Engineer

Airswift United State
Remote
This Job is No Longer Active This position is no longer accepting applications

Job Description


We’re seeking a Machine Learning Engineer to develop, optimize, and deploy ML models that power real-time decision-making solutions. This role bridges research, engineering, and deployment, transforming prototypes into scalable production systems.


Key Responsibilities:

  • Design and optimize ML models for production.
  • Build and maintain training pipelines and deployment workflows.
  • Collaborate on data and model integration requirements.
  • Deploy ML services using containerized or distributed systems.


What You Bring:

  • 3+ years of ML engineering experience in production environments.
  • Expertise in Python, TensorFlow/PyTorch, and ML pipelines (CI/CD, Docker).
  • Strong understanding of neural networks and optimization algorithms.
  • U.S. work authorization required.


Why Join Us?

Work remotely from anywhere in the U.S. and collaborate with a world-class team solving high-value challenges in AI innovation.


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