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Urgent! Machine Learning Architect Job Opening In Warsaw – Now Hiring Devire

Machine Learning Architect



Job description

Your future company

Devire IT Outsourcing is a form of cooperation dedicated to IT professionals, based on the principles of own business - B2B, implementing projects for clients running innovative and modern projects.

Our Client offers full-cycle software development services – covering everything from gathering requirements and designing architecture to implementation, ongoing maintenance, and support – complemented by agile project management to enable smooth and efficient outsourcing.


We are looking for an experienced Machine Learning Architect to join our Client's R&D team to design and optimize advanced real-time image processing systems.

This role involves end-to-end ownership of ML architecture - from concept and development to deployment in production environments using edge computing and video streaming technologies.


Location: 100% remote


Salary: 170-230 PLN net+VAT/h; B2B


Language: communication in English daily

Requirements

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.

  • The offer


  • Salary based on B2B contract(via Devire)

  • 100% remote

  • Flexible working hours

  • Additional benefits package (medical healthcare, sports membership, etc.)

  • Required Skill Profession

    Computer Occupations



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