Machine Learning Architect

• Salary based on B2B contract (via Devire)
• 100% remote
• Flexible working hours
• Additional benefits package (medical healthcare, sports membership, etc.)

Must have:

• Min. 5+ years of experience in Machine Learning / Deep Learning, including at least 2 years in real-time image/video processing.
• Strong programming skills in Python and C++.
• Hands-on experience with PyTorch and/or TensorFlow.
• Proficiency in using TensorRT for model optimization.
• Experience working with real-time streaming protocols and tools, especially RTSP and NVIDIA DeepStream SDK.
• Familiarity with message streaming systems such as Kafka.
• Experience with version control systems: GitLab, GitHub.
• Ability to design scalable and reliable ML solutions.

Nice to have:

• Knowledge of containerization technologies like Docker and Kubernetes (K8s).
• Experience in edge computing or deploying models to edge devices.
• Understanding of MLOps and ML pipeline automation.

Responsibilities

• Design, develop, and deploy machine learning architectures for real-time video stream processing.
• Build and optimize deep learning models using PyTorch and TensorFlow, leveraging hardware acceleration (GPU, TensorRT).
• Integrate with streaming systems based on RTSP, NVIDIA DeepStream SDK, and message brokers such as Kafka.
• Collaborate with DevOps and software engineering teams on code versioning (GitLab/GitHub) and, optionally, containerization using Kubernetes.
• Monitor and validate model performance, adapting to changing data in real time.
• Provide technical leadership and participate in architectural decisions throughout the ML project lifecycle.