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Machine Learning Engineer – Edge AI & Computer Vision

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Everseen

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Location:
Romania; Serbia, Timișoara ▼

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

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Job Description:

As a Machine Learning Engineer – Edge AI & Computer Vision, you will play a pivotal role in developing intelligent systems that operate efficiently on edge devices. You will be responsible for bridging the gap between cutting-edge research and real-world deployment, ensuring that models are not only accurate, but also optimized for performance, scalability, and resource constraints.

Job Responsibility:

  • Owns and maintains major components and complex features of a project
  • Drives research initiatives and develops innovative algorithms
  • Implements advanced algorithms with awareness of tradeoffs
  • Coaches team members on ML concepts, best practices, and procedures
  • Occasionally collaborates cross-functionally on high-impact projects to integrate AI technologies into products and services
  • Demonstrates a strong understanding of how components and features impact the business, and ensures work is aligned with overall project outcomes
  • Stay updated on the latest AI trends
  • Write and review research reports and experiment results

Requirements:

  • 2-3 years of programming experience in Python
  • Familiar with some of computer vision, machine learning and deep learning libraries (e.g. OpenCV, TensorFlow, Keras, PyTorch, Scikit-learn…)
  • Deep understanding of ML/AI architectures and applications
  • Strong in experimentation, scalability, and real-time systems
  • Advanced problem-solving and engineering judgment
  • Understands the latest innovations in machine learning and computer vision
  • Ability to design complex experiments and to communicate them clearly to other team members
  • Ability to design and develop components addressing the needs their research identified
  • Implement algorithms and solutions presented in papers
  • Advance projects to production (from prototype/research phase to production phase)
  • Possesses advanced engineering skills
  • Strong analytical skills, able to identify trends and make decisions based on data
  • Knowledge of statistics and data analytics

Nice to have:

  • Solid understanding of classical computer vision algorithms and concepts
  • Familiarity with machine vision and neural network models
  • Experience in developing or optimizing real-time systems
  • Hands-on experience with MLOps tools and workflows
  • Proficiency in video streaming, processing, decoding, and format handling
  • Knowledge of hardware and resource optimization techniques
  • Experience with deploying models on specialized or embedded/edge devices
  • Familiarity with major cloud platforms

Additional Information:

Job Posted:
December 08, 2025

Employment Type:
Fulltime
Work Type:
Hybrid work
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