Honeywell is a Fortune 100 company with global sales surpassing $40B and has been one of Fortunes Most Admired Companies for over a decade. Through innovation, the Company brings together the physical and digital world to tackle some of the toughest societal and business problems making the world a more productive, safe, and sustainable place. As a Senior Computer Vision Machine Learning Engineer with Honeywell, you will develop machine learning models in computer vision domain to address unique and complex problems for the variety of breakthrough solutions. YOU MUST HAVE MS in Computer Science, Engineering, or Applied Mathematics At least 3 years practical experience in machine learning algorithm development within computer vision domain key areas of interest include any of the following: object detection and segmentation, tracking and recognition, activity recognition, multiple view geometry, 3D computer vision. At least 3 years of experience programming in Python, R, Scala or Java. WE VALUE A strong understanding of big data concepts and knowledge of big data languages/tools. Exceptional data science skills, including a strong understanding of statistics, probability, and algorithms that enable you to quickly come up with solutions that combine multiple information streams. Experience in automation and build infrastructure in large-scale and distributed environment. Previous experience moving prototypes to production environment and optimizing models in production environment. Ability to stay abreast of current and emerging technologies in support of new concept development. Experience with database management systems, data platforms (e.g. Streaming Data Platform, Kafka, Logstash, Teradata, Hadoop, etc.), and data formats (e.g. SQL, NoSQL, AWS S3, JSON, Redis, neo4j, etc.) for efficient ML feature extraction and data transformations. Ability to work collaboratively with development/implementation staff through the design and build of new business processes and systems. Result-driven, positive can-do attitude. PhD degree in Computer Science, Engineering, or Applied MathematicsSalary Range: NAMinimum QualificationLess than 5 years
Associated topics: .net, application architect, backend, c/c++, design, expert, lead, matlab, perl, project architect
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