Machine Learning Engineer – Edge AI & Computer Vision Jobs

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Location:
Romania; Serbia, Timișoara ▼
Belgrade

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Not provided

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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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Machine Learning Engineer – Edge AI & Computer Vision