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Machine Learning Engineer - Computer Vision (Remote)

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Remote
Remote Senior 🇬🇧 English
Python pandas numpy scikit-learn PyTorch Keras supervised learning unsupervised learning time-series forecasting natural language processing data preprocessing feature engineering model tuning

Job description

About the role

We are seeking a Python‑focused Machine Learning Engineer specialized in computer vision to design, develop, and deliver cutting‑edge AI solutions for a global leader in AI research. The position is fully remote and offers the chance to shape ML strategy, mentor teammates, and turn research breakthroughs into real‑world impact.

Key responsibilities

  • Own the end‑to‑end ML lifecycle, from data pipelines and model design to deployment, monitoring, and continuous improvement.
  • Translate business objectives into robust ML architectures that capture domain logic and context.
  • Collaborate with product, engineering, and business stakeholders to define problem statements, success metrics, and delivery timelines.
  • Evaluate, optimize, and scale models for performance, accuracy, and reliability using state‑of‑the‑art techniques.
  • Stay up‑to‑date with AI/ML research and integrate relevant innovations into production systems.

Required profile

  • Bachelor’s or master’s degree in Computer Science, Machine Learning, AI, Statistics, or a related quantitative field.
  • 4+ years of hands‑on data science and machine learning development experience.
  • Proven ability to lead technical initiatives and mentor junior engineers.

Required skills

  • Python programming.
  • Data manipulation libraries: pandas, numpy.
  • Machine‑learning frameworks: scikit‑learn, PyTorch, Keras.
  • Experience with supervised and unsupervised learning, time‑series forecasting, and natural language processing.
  • Strong knowledge of data preprocessing, feature engineering, and model tuning.

What we offer

  • Competitive compensation based on experience.
  • Opportunity to work on proprietary AI systems with global impact.
  • Fully remote work‑from‑anywhere flexibility.

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Published 1 month ago

Expires 3 weeks from now

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