Machine Learning Engineer (Edge AI & Computer Vision)

Want to work with cutting-edge technologies on long-term, strategic projects that combine **Deep Learning, Computer Vision, Edge AI, and IoT**? 🚀🤖🚜

At Marvik, we are leading the next evolution of smart machinery—integrating vision capabilities, real-time image processing, and multi-sensor fusion into physical products operating in real environments.

**🌟 What do we offer?

**

**Challenging, real-world projects

** Work on stuff other people only read about—bringing AI out of the cloud and straight into physical, intelligent machinery.

**State-of-the-art tech stack

** Optimize and deploy cutting-edge Computer Vision and Deep Learning models on Edge devices.

**Strategic growth

** Join an expanding team with huge potential for long-term ownership, leadership, and professional development.

**Great team culture

** Excellent work environment full of highly motivated, collaborative, and talented professionals who elevate each other.

**Global exposure & On-site experiences

** Opportunity to travel internationally to work directly with clients.

**Flexible work style

** Opportunity to work remotely with global, high-impact clients.

**🧑🏻‍💻 Responsibilities

**

• 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 (e.g., NVIDIA Jetson, embedded platforms).
• Collaborate directly with clients and cross-functional engineering teams, building trust, proposing proactive solutions, and maintaining smooth technical communication.
• Debug, monitor, and maintain production models operating continuously under real-world hardware constraints.

**🤝 If you have

**

**Strong experience bringing AI to production

** It’s not just about training models—you know how to make them run reliably in real-world environments.

• **Solid background in AI & Deep Learning** , including experience with LLMs, Computer Vision, multimodal models, model optimization, and efficient inference.

**Edge AI & Embedded exposure

** Experience optimizing models for constrained devices (TensorRT, ONNX, OpenCV, C++, or Python).

**Strong Ownership & Soft Skills

** Highly collaborative, proactive, independent, and clear in technical communication. A team player who builds trust with clients and peers.

**Advanced English level

** Excellent verbal and written communication skills to interact directly with international client teams.

**Required tools

** Python, C++, PyTorch/TensorFlow, OpenCV, Docker, Git.

🦾 **It’s a major plus

**

• Hands-on experience with **NVIDIA Jetson** , ROS/ROS2, or embedded hardware platforms.
• Experience in domains such as **Robotics, IoT, Drones, Automotive, or Industrial Machinery**.
• Knowledge of sensor fusion (IMU, cameras, LiDAR) or OTA (Over-The-Air) updates and Cloud IoT architectures (AWS/Azure IoT).