Senior AI/Computer Vision Engineer

We’re looking for a Senior AI/Computer Vision Engineer to build AI systems end to end, from defining the problem and data requirements to training models, validating them, deploying on edge devices, and integrating them into C++ pipelines.

This is a hands-on engineering role for someone who can take applied AI projects from concept to production and is comfortable working across modeling, evaluation, deployment, and system integration.

Responsibilities:

• Own AI and computer vision projects end to end, from technical definition to production deployment;
• Translate product needs into system, data, model, and evaluation requirements;
• Define data collection, annotation, and validation strategies;
• Train and optimize deep learning models for real-world vision and multimodal applications;
• Build testing, benchmarking, and failure analysis workflows;
• Optimize models for edge devices with attention to latency, memory, throughput, and accuracy tradeoffs;
• Integrate models into production inference systems, including C++ edge pipelines;
• Work closely with software and product teams to ship reliable AI features at scale.

Requirements:

• MS or PhD in Computer Science, Electrical Engineering, or a related field, or equivalent practical experience;
• Strong Python skills;
• Solid experience with PyTorch, TensorFlow, or similar frameworks;
• 4+ years of experience building and shipping computer vision and/or applied AI systems;
• Hands-on experience with tasks such as detection, classification, segmentation, tracking, embeddings, or multimodal perception;
• Experience beyond model training, including evaluation, deployment, and production support;
• Experience optimizing models for edge or embedded environments;
• Strong software engineering skills, including C++ production pipelines or inference systems;
• Fluent in English and Latvian.

Nice to have:

• Experience with LLMs or multimodal models in production;
• Experience with ONNX, TensorRT, OpenVINO, or TFLite;
• Experience with MLOps and experiment tools such as MLflow, Weights & Biases, or DVC;
• Familiarity with model monitoring and post-deployment analysis.

Benefits:

• International work environment and work with global development teams;
• Ability to deliver software that is used by millions of people across the globe;
• Opportunity to leverage and integrate modern AI tools into product development;
• Access to all Ubiquiti products;
• Medical insurance;
• Hybrid approach - office in Riga;
• Flexible work hours;
• Compensation package matching global standards, including competitive salary depending on your qualification and background (starting from 5000 up to 8000 Euro gross monthly);
• A-class office with all the necessities - snacks, drinks, free parking, etc!