Operational Technology – Ot – Machine Vision Architect

Operational Technology – Ot – Machine Vision Architect

Requirements

• Bachelor’s degree
• 3+ years experience designing, commissioning, troubleshooting current electrical systems, computer vision, machine learning or material handling system architecture.
• Ability to drive innovation by incorporating the latest advances in deep learning or machine vision technology
• Strong communication skills, both verbal and written.
• Knowledge in theory and practice of computer vision, machine learning and deep learning techniques.
• Hands-on experience with building, training, evaluating, and deploying material handling based vision models, or related methods
• Familiarity in Linux, Go, Python and one of the deep learning toolkits or machine vision imaging software’s.
• Ability to communicate effectively and collaborate with partner teams.
• Familiarity with modern camera ISP and digital image processing algorithms and models
• Committed to encouraging an open and inclusive work environment.
• Broad technical knowledge spanning a wide range of application areas alongside computer vision such as designing and wiring control systems, PLC’s, motion control, robotics, vision systems, and using electrical test instrumentation.
• Excellent writing, communication, documentation and interpersonal skills.
• Strong organization with respect to balancing R&D needs with project timelines, working independently both onsite as part of a team and remotely.

Responsibilities

• Leads projects designing and developing architecture solutions to business problems that meet user requirements.
• Work diligently with vendors to onboard new technological solutions to broaden the business footprint on machine vision and learning.
• Applies knowledge of emerging technology trends and best practices to show the potential business application of technology improvements.
• Is an expert in DWS.
• Exceeds customers’ expectations by listening for unexpressed needs; connects customer needs to relevant service offerings and new technology.
• Leads others in resolving technical issues in a timely manner; follows up with customers to ensure satisfaction.
• Partners with the business to integrate new technologies into business solutions; creates and communicates a vision of the technology requirements for the future state of the business.
• Identifies and manages key business partner relationships, listens to and understands their needs and expectations, maintains open two-way communication and delivers value to business partner.
• Maintains, facilitates, and improves upon those relationships and demonstrates accountability for results.
• Develops trust and influence among key business partners. Is available and consistently communicates with business partners to reach desired goals in a timely manner, showing flexibility when needed.
• Assesses bottlenecks in work processes within teams to streamline and simplify workflow.
• Coordinates with team members to execute new ideas or approaches and achieve process improvement goals.
• Compiles data and analyzes the impact of process changes.
• Interprets internal/external business challenges and recommends integration of the appropriate systems, applications and technology to provide a fully functional solution to a business problem.
• Plans and determines resources for network management projects and provides suggestions to enhance capabilities and performance.
• Confirms comprehension and understanding of complex technical information (e.g., operational risk, and regulatory data) by correctly and clearly answering routine questions.
• Creates clear, concise and organized communication materials (e.g., policies & procedures, guidelines, presentations, messages).
• Considers and understands the audience’s specific needs and comprehension level to determine the most appropriate message and delivery method, limiting or explaining technical language.
• Creatively develops tools, visual aids and other original content to support the understanding/education of complex and technical information (e.g., legal, operational risk, and regulatory data).
• Guides others on the best practices and approaches for creating clear, concise and organized communication materials to convey technical concepts in a user-friendly way.
• Challenges others to bring fresh and creative perspective to differentiating technical communications and ensuring comprehension and ease-of-use for various audiences.
• Develops documentation and training for new technology to be implemented within a stable environment.

Preferred Qualifications

• Bachelor’s degree in electrical technology, Computer Science or Machine Vision Engineering.
• 5+ years experience designing, commissioning, troubleshooting current electrical systems, computer vision, machine learning or material handling system architecture.
• Knowledge in theory and practice of computer vision, machine learning and deep learning techniques.
• Experience performing proof of concept testing to define imaging requirements for consumer devices.
• Hands-on experience with building, training, evaluating, and deploying material handling based vision models, or related methods.
• Broad technical knowledge spanning a wide range of application areas alongside computer vision such as designing and wiring control systems, PLC’s, motion control, robotics, vision systems, and using electrical test instrumentation.
• Strong programming skills in Linux, Go, Python and/or C++ and one of the deep learning toolkits such as PyTorch, JAX, or Tensorflow.
• Excellent writing, communication, documentation and interpersonal skills.
• Strong organization with respect to balancing R&D needs with project timelines, working independently both onsite as part of a team and remotely.