Artificial Intelligence Engineer

Job Description

At Rayvector, we are looking for talented AI / ML / Computer vision developers who can create cutting-edge ML solutions. Our ideal candidate will have 2-3 years of experience in Computer vision, strong knowledge of the relevant frameworks, and the analytical skills to solve the problems at hand. Working across many different departments, this role requires a candidate with a proactive attitude and a good team ethic to unify a common vision. Responsibilities Convert the machine learning models into application program interfaces. Build AI models from scratch and help the different components of the organization (such as product managers and stakeholders) understand what results they gain from the model Build data ingestion and data transformation infrastructure Automate the infrastructure that the data science team uses Perform statistical analysis and tune the results so that the organization can make better-informed decisions Set up and manage AI development and product infrastructure. Maintain and improve our existing in-house algorithms and models, including continuous evaluation, fine-tuning Optimize algorithm performance across a wide range of development platforms Develop evaluation scripts to process and accurately measure algorithmic and end-to-end performance Qualifications Bachelor's or Masters's degree in Computer Science / Mathematics / Applied Mathematics. Minimum of 2-3 years of industry experience. Key Skills Strong Python programming experience, familiarity with software development best practices, debugging/profiling Experience with OpenCV, PIL, and other image-processing libraries Experience with at least one mainstream deep learning framework such as PyTorch and TensorFlow Familiarity with data science toolkits such as jupyter lab/notebooks, pandas, bash scripting, Linux environment Hands-on experience with different neural network architectures/modules. Experience with CNNs is a plus Excellent problem-solving skills. Good communication skills Show more Show less