Join an extraordinary team in a rapidly evolving industry!
ClearObject has been a pioneer in driving digital innovation for over a decade. We specialize in leveraging cutting-edge technologies such as edge-based artificial intelligence (AI), generative AI, Computer Vision, and Cloud solutions to transform raw data into actionable intelligence. Our solutions empower businesses across diverse industries to optimize operations, elevate customer experiences, and achieve sustainable growth.
As a proud Google Premier Partner, Google GenAI Launch Partner, AWS Select Partner, and IBM Gold Business Partner, we are committed to driving environmental sustainability through our projects, ensuring that every contribution makes a positive impact.
Job Summary:
We are seeking a highly motivated and experienced Project Engineer to join our growing team focused on building and deploying advanced AI/ML solutions within our manufacturing environment. In this role, you will be responsible for the design, implementation, and deployment of cutting-edge machine vision systems that integrate with our AI/ML platform. You will play a key role in all aspects of the project lifecycle, from hardware procurement and configuration to system specification and project management.
Responsibilities
System Design and Specification:
Collaborate with cross-functional teams, including data scientists and AI/ML engineers, to define project requirements and specifications for platforms supporting AI/ML initiatives.
Design and develop system architectures, including hardware and software components, to meet project needs and ensure seamless integration with the AI/ML platform.
Create detailed documentation, including system diagrams, network topologies, and installation procedures.
Hardware Procurement and Configuration:
Research, select, and procure appropriate hardware components (cameras, lenses, lighting, processing units, etc.) that meet the performance and scalability requirements of AI/ML workloads.
Configure and test hardware components to ensure compatibility and optimal performance within the AI/ML platform ecosystem.
Manage hardware installations and upgrades, including on-site support.
Software and Network Integration:
Integrate machine vision software with existing production systems, databases, and the AI/ML platform.
Configure network connectivity and security for machine vision systems, ensuring secure data transfer and communication with the AI/ML platform.
Troubleshoot and resolve software and network-related issues.
Project Management:
Develop and manage project plans, timelines, and budgets for machine vision projects within the broader AI/ML initiative.
Track project progress and report on key milestones and deliverables to stakeholders, including AI/ML team members.
Coordinate with internal and external stakeholders to ensure successful project execution and alignment with AI/ML goals.
Qualifications:
Education: Bachelor's degree in Electrical Engineering, Computer Engineering, or a related field.
Experience: 3+ years of proven experience in designing and implementing machine vision systems, preferably with experience in supporting AI/ML projects.
Strong understanding of machine vision principles, techniques, and technologies, and how they relate to AI/ML applications.
Hands-on experience with hardware selection, configuration, and troubleshooting in the context of AI/ML systems.
Proficiency in Linux operating systems and networking protocols.
Experience with project management methodologies and tools.
Machine Vision:
Deep understanding of machine vision principles, techniques, and common algorithms.
Hands-on experience with machine vision software libraries and frameworks (e.g., OpenCV, TensorFlow, PyTorch).
Proficiency in image processing, analysis, and object recognition techniques.
Experience with camera selection, calibration, and integration.
Knowledge of different lighting techniques and their impact on image quality.
Linux Systems:
Strong command of Linux operating systems, including system administration, shell scripting, and command-line tools.
Experience with Linux-based networking and security configurations.
Familiarity with Docker and containerization technologies.
Networking:
Solid understanding of network protocols (TCP/IP, Ethernet, UDP) and their application in industrial environments.
Experience with network configuration, troubleshooting, and security best practices.
Knowledge of network devices (switches, routers, firewalls) and their management.
Hardware:
Ability to select and evaluate appropriate hardware components for machine vision systems (cameras, lenses, lighting, processing units).
Hands-on experience with hardware configuration, installation, and troubleshooting.
Familiarity with industrial automation hardware (PLCs, sensors, actuators) is a plus.
AI/ML Fundamentals:
Basic understanding of AI/ML concepts, including model training, evaluation, and deployment.
Familiarity with common AI/ML frameworks and platforms.
Ability to collaborate with data scientists and AI/ML engineers on integrating machine vision systems with AI/ML pipelines.
Competencies:
Problem-solving: Ability to analyze complex problems, identify root causes, and develop effective solutions.
Analytical thinking: Capacity to break down complex systems into smaller components and understand their interactions.
Communication: Excellent written and verbal communication skills to effectively convey technical information to both technical and non-technical audiences.
Collaboration: Ability to work effectively with cross-functional teams, including engineers, data scientists, and business stakeholders.
Project Management: Strong organizational and time management skills to manage project timelines, budgets, and resources effectively.
Adaptability: Ability to adapt to changing project requirements and technologies in a fast-paced environment.
Continuous Learning: Commitment to staying updated on the latest advancements in machine vision, AI/ML, and related technologies.
Additional Information
To qualify, applicants must be legally authorized to work in the United States, and should not require, now or in the future, sponsorship for employment visa status.
ClearObject is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status or any other characteristic protected by federal, state, or local law.
The level of this position will be determined based on the applicant's education, skills and experience.
ClearObject employees performing certain job functions may require access to technology or software subject to export or import regulations. To comply with these regulations, ClearObject may obtain nationality or citizenship information from applicants for employment. ClearObject collects this information solely for trade law compliance purposes and does not use it to discriminate unfairly in the hiring process.