Principal AI Engineer, Video Analytics, C#, Python

🔥 6 minutes ago

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Dev.Pro

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 2011

🤝 B2B

💳 Fintech

☁️ SaaS

B2B • Fintech • SaaS

Dev. Pro is a software development partner that supports technology companies with custom outsourced software development services. With over 13 years of experience, a team of more than 900 experts, and operations in over 50 countries, Dev. Pro provides a comprehensive range of services including cloud development, DevOps, software testing and QA, system integration, and application security. The company caters to a wide array of industries such as digital commerce, fintech, hospitality, and healthcare by delivering tailored software development experiences. Dev. Pro emphasizes quality, innovation, and a transparent collaboration process to accelerate growth for ambitious startups and Fortune 500 enterprises alike, ensuring successful outcomes through a well-balanced and efficient team approach.

📋 Description

• Develop and maintain robust backend solutions that process video data and deliver actionable insights using pre-trained computer vision models. • Develop and optimize GPU-accelerated video inference pipelines for real-time processing • Implement, evaluate, and improve object detection models (YOLO or similar) • Build temporal smoothing and tracking logic for safety event detection • Optimize model performance using TensorRT, ONNX, CUDA, and GPU profiling tools • Build and maintain integrations with event-driven APIs, Azure Event Hub, Blob Storage, and internal services • Add metrics, logging, telemetry, and fail-safe mechanisms for resilient inference jobs • Collaborate on dataset curation, labeling, model training, validation, and experiment tracking • Support containerized deployments (Docker) and assist with monitoring and scaling production workload

🎯 Requirements

• 7+ years of software engineering experience with strong backend skills • 3+ years of experience shipping computer vision solutions to production • Strong Python proficiency • Experience with OpenCV, PyTorch, async I/O frameworks, and API integrations • Hands-on experience with YOLO/Ultralytics or similar object detection frameworks • Experience detecting, labeling, and tracking objects in video • Solid knowledge of frame sampling, confidence thresholds, temporal filtering, and multi-camera aggregation • Experience with GPU inference optimization (batching, stride, TensorRT, CUDA, quantization, throughput tuning) • Ability to communicate and collaborate effectively with engineering and product teams • Upper-Intermediate+ English level • Desirable: • Experience with Azure Event Hub, Blob Storage, Application Insights, or similar • Familiarity with Docker, cloud deployments, and production monitoring systems • Experience in temporal/sequence analysis for event detection • Experience with video analytics in safety, compliance, or industrial/transportation environments