Robotics Machine learning consultant
Budget: $25 – $50 USD
Machine Learning Robotics Engineer consultant
The ideal candidate has deep technical understanding of the fields of machine learning and robotics, possesses
practical experience in both, and has demonstrated leadership abilities
•Education in Machine Learning / Robotics / Computer Science (or an MSc in a similar field complemented with extensive relevant industrial experience)
•Theoretical and practical knowledge of Deep Learning and Machine Learning, strong understanding of fundamental machine learning concepts
•Proficiency in classical methods and algorithms in robotics, allowing one to identify when to use an ML solution, and when a classical one
•Good Python programming skills, experience with machine learning and deep learning frameworks
•Strong understanding of software development practice
•Demonstrated experience with Linux shell, Docker, Git and other coding tools
•Familiarity with ROS and robot simulation software
•Nothing-is-impossible attitude
Responsibilities
•Work with the Technical Groups to identify challenges in robotic applications that can be effectively tackled with ML applications
•Develop, integrate, test and deploy the proposed ML solutions into robots
•Actively engage in the daily operations across teams and communicate the entry points for ML deployments and their benefits to key stakeholders throughout the organization
•Manage projects meeting milestones, significantly contributing to the development codebase of ML robotics applications
•Maintain high development standards and rigorousness of methodology
Benefits
•Opportunity to sink your teeth into cutting edge challenges of machine learning in industrial robotics domain
•Opportunity to attend relevant conferences in the line of research
•Competitive compensation package
The ideal candidate has deep technical understanding of the fields of machine learning and robotics, possesses
practical experience in both, and has demonstrated leadership abilities
•Education in Machine Learning / Robotics / Computer Science (or an MSc in a similar field complemented with extensive relevant industrial experience)
•Theoretical and practical knowledge of Deep Learning and Machine Learning, strong understanding of fundamental machine learning concepts
•Proficiency in classical methods and algorithms in robotics, allowing one to identify when to use an ML solution, and when a classical one
•Good Python programming skills, experience with machine learning and deep learning frameworks
•Strong understanding of software development practice
•Demonstrated experience with Linux shell, Docker, Git and other coding tools
•Familiarity with ROS and robot simulation software
•Nothing-is-impossible attitude
Responsibilities
•Work with the Technical Groups to identify challenges in robotic applications that can be effectively tackled with ML applications
•Develop, integrate, test and deploy the proposed ML solutions into robots
•Actively engage in the daily operations across teams and communicate the entry points for ML deployments and their benefits to key stakeholders throughout the organization
•Manage projects meeting milestones, significantly contributing to the development codebase of ML robotics applications
•Maintain high development standards and rigorousness of methodology
Benefits
•Opportunity to sink your teeth into cutting edge challenges of machine learning in industrial robotics domain
•Opportunity to attend relevant conferences in the line of research
•Competitive compensation package