Machine Learning Engineer – Edge AI, Computer Vision

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Marvik

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2018

💼 Consulting

🏥 Healthcare

📦 Logistics

Consulting • Healthcare • Logistics

Marvik is a technology consultancy that designs, builds, and deploys production-ready artificial intelligence solutions for enterprise customers. They offer end-to-end AI services including strategy and opportunity discovery, data engineering, model development (agents, LLMs, generative AI, computer vision, predictive analytics), robotics and automation, and on-demand senior AI talent and leadership (fractional CAIO). Marvik focuses on delivering scalable AI that drives business impact across industries like retail, e-commerce, logistics, fintech, manufacturing, healthcare, energy, and government.

📋 Description

• Take end-to-end ownership of Machine Learning models, moving them beyond training and ensuring reliable deployment in production on physical hardware • Design, build, and optimize real-time AI pipelines integrating foundation models, sensor and application data, and scalable inference workflows • Optimize inference performance, memory usage, and execution speed for Edge AI platforms such as NVIDIA Jetson and embedded platforms • Collaborate directly with clients and cross-functional engineering teams • Build trust, propose proactive solutions, and maintain smooth technical communication • Debug, monitor, and maintain production models operating continuously under real-world hardware constraints

🎯 Requirements

• Strong experience bringing AI to production • Solid background in AI and Deep Learning • Experience with LLMs, Computer Vision, multimodal models, model optimization, and efficient inference • Experience optimizing models for constrained devices • Experience with TensorRT, ONNX, OpenCV, C++, or Python • Highly collaborative, proactive, independent, and clear in technical communication • Advanced English level with excellent verbal and written communication skills • Required tools: Python, C++, PyTorch/TensorFlow, OpenCV, Docker, and Git • Hands-on experience with NVIDIA Jetson, ROS/ROS2, or embedded hardware platforms is a major plus • Experience in Robotics, IoT, Drones, Automotive, or Industrial Machinery is a major plus • Knowledge of sensor fusion involving IMU, cameras, or LiDAR is a major plus • Knowledge of OTA updates and Cloud IoT architectures such as AWS/Azure IoT is a major plus

🏖️ Benefits

• Challenging, real-world projects • State-of-the-art tech stack • Strategic growth with potential for long-term ownership, leadership, and professional development • Excellent work environment with highly motivated, collaborative, and talented professionals • Opportunity to work remotely with global, high-impact clients