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AI Engineer

Hired

Remote
Remote 🇬🇧 English
Python TensorFlow PyTorch scikit-learn AWS GCP Azure Docker Kubernetes MLOps CI/CD model versioning monitoring frameworks Spark Dask

Job description

About the role

We are hiring for a client to join as an AI Engineer. The role focuses on designing, developing, and deploying machine learning models that power real‑world applications. You will work remotely with cross‑functional teams to integrate AI solutions into production systems and continuously improve model performance.

Key responsibilities

  • Develop and optimise machine learning models using TensorFlow, PyTorch, or scikit‑learn.
  • Collaborate with data scientists and software engineers to preprocess data, engineer features, and validate model accuracy.
  • Deploy AI models into scalable production environments, ensuring low‑latency inference and efficient resource utilisation.
  • Monitor live model performance, detect degradation, and implement retraining pipelines.
  • Contribute to AI‑driven product design, including recommendation systems, computer‑vision, and NLP tools.

Required profile

  • Strong background in AI/ML development and model lifecycle management.
  • Hands‑on experience collaborating with data science and engineering teams.
  • Ability to design scalable, production‑ready AI pipelines.
  • Familiarity with cloud services and container orchestration.
  • Experience handling large‑scale datasets with distributed frameworks.

Required skills

  • Python
  • TensorFlow
  • PyTorch
  • scikit‑learn
  • AWS, GCP or Azure
  • Docker
  • Kubernetes
  • MLOps practices (model versioning, CI/CD, monitoring)
  • Spark or Dask

What we offer

  • Competitive salary range of $200K‑$350K per year.
  • Fully remote work arrangement.
  • Opportunity to contribute to cutting‑edge AI solutions for a global technology leader.

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Published 2 weeks ago

Expires 1 month from now

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