Python Developer For Computer Vision & Edge Deployments

Roles & Responsibilities

• Design, build, and maintain efficient, reusable, and reliable Python code and architecture.
• Solve complex computer vision problems with highly efficient algorithms and clean, maintainable code.
• Collaborate with AI teams on data processing, model deployment, and system integration.
• Optimize and enhance existing systems for performance and scalability.
• Adapt existing software to new hardware or evolving requirements.
• Work closely with internal teams to understand user needs and deliver robust technical solutions.
• Design and implement real-time computer vision pipelines from camera feed ingestion to KPI generation.
• Integrate video streaming, frame processing, and analytics modules for low-latency performance.
• Develop scalable, high-performance distributed data processing applications using PubSub.

Skills required:

• Exceptional problem-solving and algorithmic thinking.

• Strong proficiency in Python and a deep understanding of Pythonic coding practices.
• Experience with multithreading and multiprocessing.

• Basic experience with OpenCV, NumPy, and image processing techniques.

• Knowledge of advanced Python features (context managers, decorators, descriptors, type hinting).
• Solid understanding of secure, scalable application design.
• Expertise in at least one Python web framework (FastAPI, Flask).
• Experience with Redis, SQL or NoSQL databases.
  

Brownie Points:

• Hands-on experience with OpenCV and image processing techniques.

• Experience with video streaming protocols such as RTSP, GStreamer, FFmpeg, WebRTC, FastRTC.

What we have to offer:

• A performance-oriented team culture that values ownership and innovation.
• Opportunities to work with cutting-edge technologies and design scalable systems.
• Flexible working hours and a meritocratic, candid startup environment.
• A chance to make a real impact in the logistics and supply chain automation space.
• Meritocracy-driven, candid startup culture.