Computer Vision Engineer

Key Responsibilities:

• Design and implement computer vision algorithms and models to analyze and interpret visual data.
• Develop and optimize image processing pipelines for object detection recognition and tracking.
• Create and train deep learning models for image classification and semantic segmentation.
• Collaborate with crossfunctional teams to integrate computer vision solutions into products and systems.
• You will lead a team of researchers and engineers in the field of computer vision and robotics to deliver innovative products and solutions
• Experiment with stateoftheart methods in object detection scene reconstruction and motion planning
• Train neural networks on inhouse domainspecific datasets
• Analyze experimental results and come up with ways to improve the robustness sample efficiency accuracy and other model properties
• Design and implement domainspecific benchmarks profile and optimize the performance of neural networks as well as endtoend systems
• Design and build robotic applications combining multiple perception and motion planning models
• Enhance datasets for comprehensive training in manipulation and streamline data review cleaning and labelling processes
• Research and evaluate the latest advancements in computer vision and recommend innovative approaches.
• Optimize algorithms for realtime performance and resourceconstrained environments.
• Conduct testing and validation of computer vision systems to ensure accuracy and robustness.
• Contribute to technical documentation including algorithm specifications and performance reports.
• Participate in code reviews and provide mentorship to junior team members.

Required Qualifications:

• Masters or Ph.D. in Computer Science Electrical Engineering or related field.
• Proven experience in computer vision image processing and machine learning.
• Proficiency in programming languages such as Python C or Java.
• Strong background in deep learning frameworks like TensorFlow PyTorch or Keras.
• Solid understanding of 3D computer vision point clouds and spatial transformations.
• Experience with libraries and tools for computer vision development such as OpenCV.
• Solid fundamentals and experience in computer vision (linear algebra object detection structure from motion visionlanguage models)
• Experience in robotics or edge is a big plus: evidence of practical experience and projects that involve scene reconstruction depth estimation calibration or deployment on edge devices
• Experience leading a team of AI/ML engineers
• Published research: particularly around computer vision and robotics demonstrates a deep understanding and contribution to the field
• Ability to work with largescale datasets and implement data augmentation techniques.
• Knowledge of GPU programming for accelerated computation in computer vision tasks.
• Excellent problemsolving skills and analytical thinking for algorithm development.
• Effective communication and collaboration skills to work in multidisciplinary teams.
• Demonstrated ability to deliver highquality productionready code for computer vision applications.
• Experience with version control systems and agile development methodologies.
• Familiarity with cloud platforms and edge computing for deploying computer vision solutions.
• Understanding of image annotation and labeling processes for training supervised learning models.

object detection,vision-language models,computer science,image processing,machine learning,opencv,gpu programming,deep learning,python,agile development methodologies,leadership,computer vision,tensorflow,mathematics,linear algebra,edge computing,version control systems,pytorch,cloud platforms,motion,robotics,structure from motion,3d computer vision,neural networks,datasets