Machine Learning Engineer

Apidel Technologies
Apidel Technologies

Job Overview

Hi, An excellent opportunity to work with Telecommunication and Entertainment Company Only local consultants. To apply, please call Atul at or email him on mailto This role will be remote till the COVID-19 restrictions are applicable, post that this will be a 100 onsite role with some remote work possibilities on rare occasions. Job Title Machine Learning (Data Scientist) Engineer Duration 12+ Months Location Schaumburg, IL Job Description Core Responsibilities Research and develop analysis methods that extend the Media Analysis Framework, including videoimageaudio processing and machine learning methods, to extract meaning and produce time stamped metadata from video content. Develop, test, and deploy software components that implement your analysis methods into production systems. Work closely with other researchers and engineers to fit components into well-established workflows and systems. Work with other researchers, engineers, product managers, and business partners to rapidly prototype algorithms for proof-of-concept demonstrations. Collaborate closely with team members within and outside of research to advance the capabilities of the MAF system and to further the teamrsquos collective knowledge Top Skills Machine Learning + Python (Must) Image Processing (Object Detection, Object recognition, Signal Processing, CNNs, Digital Signal Processing, Audio Processing) Software developmentEngineering in a production environment that has gone into production work flow. Producing Software in an enterprise environment that can be deployed. Desired Qualifications Masterrsquos degree in computer science, computer engineering, electrical engineering, mathematics, related technical discipline, or related industry experience. Experience in video analysis, object detectionrecognition, and eventactivity recognition is desired. Strong programming and software engineering skills, including significant experience in Python. Additional experience in a compiled, statically-typed language is desired. Strong understanding of machine learning. Familiarity and experience with image processing and deep learning frameworks and tools, such as OpenCV, Keras, TensorFlow, PyTorch, Caffe. Familiarity and experience with software development techniques, particularly continuous integration and automated testing version control with Git Linux systems concepts, command-line tools, and shell scripting and containerization technologies (e.g., Docker). Familiarity with cloud computing services (e.g., AWS) is desired.Machine Learning Engineer 1

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