Computer Vision Engineer

KoiReader enables Hyperautomation through sensors, computer vision, natural language processing, edge computing, embedded vision, proprietary AutonomousOCR technology, smart algorithms, and operational intelligence across the entire value chain. The company unlocks value for Fortune 100/500 and equivalent-sized corporations by deploying solutions from the edge to the cloud to deliver an efficient and accurate supply chain.

Our founders are alums of XPO Logistics, EY, PwC, Mu Sigma, Oracle, JDA/i2, and Capgemini, and offer deep expertise in Artificial Intelligence, Image Processing, Algorithms, Advanced Data Science, Logistics, Transportation and Supply Chain.

Skills required

• Strong experience in python and writing fault-tolerant code
• Plenty of expertise in Image Processing, OpenCV, SciPy and NumPy
• Good understanding of optimizing data processing pipelines
• Command over geometry, statistics and designing complex algorithms
• Ability to work and thrive in a startup environment, learn rapidly and master diverse web technologies and techniques

Roles and Responsibilities

• Leverage open-source code and libraries to quickly experiment and build novel solutions
• Independently think of solutions to complex requirements; possess exceptional logical skills
• Analyze current products in development, including performance, diagnosis and troubleshooting
• Work with the existing framework and help evolve it by building reusable code and libraries
• Search and introduce new software related technologies, process and tools to the team

Brownie Points

• Knowledge of Keras, Tensorflow, PyTorch, Ludwig, TensorRT
• Experience with Nvidia DeepStream
• Knowledge of NLP and NLU (NLTK, Spacy, Flair, etc.)
• Understanding of Docker, Kubernetes and GIT
• Familiarity with JavaScript

What we have to offer

• Work with a performance oriented team driven by ownership and open to experiments with cutting-edge technologies
• Learn to design system for high accuracy, efficiency and scalability
• Meritocracy driven, candid startup culture