AI / Computer Vision Engineer

Posted 2 Days Ago
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Zagreb, HRV
In-Office
Junior
Aerospace • Software
The Role
Design, train, and deploy real-time neural networks for image processing. Build MLOps pipelines, containerize models, orchestrate deployments, create automated tests, and integrate AI solutions with cross-functional teams for the AirScout product.
Summary Generated by Built In

Walaris designs and develops AI-driven, software-defined, and hardware-enabled autonomous systems for defense and security applications. Our software platform uses artificial intelligence, sensor fusion, and edge computing to provide real-time situational awareness for air, land, and sea domains, enabling rapid decisions at machine speed. Our cutting-edge technology is utilized by customers across the defense, national security, government, marine, and critical infrastructure protection markets worldwide.

At our office in Zagreb, we are seeking a talented AI / Computer Vision Engineer (m/ž/d) to join our dynamic team.

Responsibilities

  • Implement and train neural networks for our real-time AI/ML image processing systems
  • Containerize machine learning models and orchestrate their deployment, versioning, and monitoring
  • Build scalable and robust MLOps pipelines by applying CI/CD concepts and utilizing tools like Kubeflow, MLFlow, DataRobot, Airflow, Docker, and Kubernetes
  • Develop and automate tests to ensure the quality and reliability of machine learning models
  • Collaborate closely with our cross-functional teams to integrate AI solutions into our AirScout product

Requirements
  • Degree in the field of computer science, software engineering, artificial intelligence, or a related area (preferably Master's level)
  • At least 2 years of professional software developer experience bringing machine learning models into production
  • Experience with platform engineering and DevOps for machine learning applications
  • Excellent programming skills in Python and experience with Pytorch or Tensorflow
  • Familiarity with container orchestration as well as tools, e.g. Docker and Kubernetes
  • Solid understanding of Linux environments
  • Fluent in English with excellent communication skills

Benefits

Join our mission and become part of an innovative, dynamic team! At Walaris, you’ll play a vital role in saving lives and safeguarding local and national security by harnessing the power of cutting-edge technologies. This is your chance to break new ground and take on meaningful responsibility as you help develop and deploy industry-defining solutions.

We offer creative freedom, competitive compensation, and a fast-paced, collaborative environment where your ideas and contributions truly matter.

If you’re ready to make an impact, we invite you to apply by submitting your cover letter, resume, and transcript through our online application form.

Skills Required

  • Degree in computer science, software engineering, artificial intelligence, or related field
  • Master's degree (preferred)
  • At least 2 years professional experience deploying machine learning models to production
  • Experience with platform engineering and DevOps for machine learning applications
  • Excellent programming skills in Python
  • Experience with PyTorch or TensorFlow
  • Familiarity with container orchestration and tools (Docker, Kubernetes)
  • Solid understanding of Linux environments
  • Fluent English and strong communication skills
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The Company
HQ: Atlanta, GA
22 Employees

What We Do

Walaris designs and develops autonomous EO/IR-based drone detection, tracking, and identification systems for counter-UAS, perimeter surveillance, and critical infrastructure protection. Its proprietary AirScout software utilizes novel artificial intelligence and high-performance computer vision to provide real-time airspace awareness of malicious and reckless drones. Walaris serves customers across the defense, national security, government, and critical infrastructure protection markets worldwide. If you're interested in exploring opportunities at Walaris, please check out our careers page at walaris.com/careers.

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