We are looking for a Machine Learning (ML) Vision Engineer with a solid foundation in software development and proven experience in image processing, computer vision, and machine learning. This role is central to our Optical Character Recognition (OCR) project, which powers real-time, large-scale image-based transaction processing.
Description of Duties
- Design, implement, and optimize Machine Learning based computer vision components, including:
o Object detection and image classification models.
o OCR pipelines integrating third-party and in-house engines.
o Image quality assessment classifiers (e.g., overexposed, underexposed, obstructed).
- Develop robust, production-ready Python code with strong Object Oriented Design (OOD) principles.
- Collaborate with system architect to integrate Machine Learning components into a distributed, message-driven architecture.
- Implement data-driven training, evaluation, and feedback loops for OCR and image classifiers.
- Optimize model performance for near real-time transaction workflows (latency and throughput).
- Participate in system-level design discussions, ensuring scalability, maintainability, and adaptability.
- Work closely with database, Application Programming Interface (API), and DevOps teams to ensure smooth deployment and testing.
- Build frameworks and systems, not just proof-of-concept notebooks.
- Fully document all created work associated with this position, including technical and functional designs and diagrams, test plans, test scripts, impact analysis reports, lessons learned, best practices for others to follow, plus any other documentation as required by the PTC. This documentation shall follow the format and/or templates as instructed by the PTC.
- Develop and maintain a productive working relationship with technology staff, business owners, project sponsors, vendors, and key clients.
- Lead and participate in project team activities for system work efforts related to enterprise systems.
- Work independently to accomplish the tasks and duties assigned.
- Adhere to and follow all PTC standards, policies, and procedures.
- Utilize various software and/or technology tools to perform job duties.
- Perform tasks and other duties as related to this position and role and assigned by the PTC.
Minimum Experience
- Strong professional experience with Python (must be clearly demonstrated in resume).
- Solid background in software engineering: Object Oriented Programming (OOP), design patterns, clean code, and testable architectures.
- Experience with image processing and computer vision frameworks (e.g., OpenCV, Pillow).
- Hands-on experience with machine learning frameworks (e.g., PyTorch, TensorFlow).
- OCR-related experience (such as Tesseract, PaddleOCR, EasyOCR, or custom models).
- Familiarity with object detection (such as YOLO, Faster R-CNN, SSD, etc.).
- Knowledge of classification, feature extraction, and evaluation metrics for vision tasks.
- Proficient in the Microsoft Office 365 suite of business software including Teams, Word, Excel, and PowerPoint, plus proficient in Microsoft ADO Testing Module.
Desired Skillset
- Software Developer grade of engineer who thinks in terms of code quality, maintainability, and design.
- Hands-on ML Vision practitioner with applied experience in OCR, classification, and detection.
- Demonstrates innovative thinking, with the ability to translate research methods into production.
- Comfortable working in a multi-module, distributed system environment.
- Strong communicator, able to articulate technical choices and trade-offs.
- Additional beneficial skills include:
o Enterprise Business Solutions, specifically SAP projects.
o ITIL / ITSM practices and methodologies.
Certifications / Education
- Bachelor’s degree in business management or information systems.
- Equivalent combination of education and/or experience may be accepted.
Engagement Requirements
- Candidate’s location is preferred to be within the Continental United States.
- The work location will be virtual/remote until further notice. When required to be onsite, the work location will be at either PTC’s Central Administration Building located at 700 South Eisenhower Boulevard in Middletown, PA, or PTC’s Turnpike Industrial Park location located at 2850 Turnpike Industrial Drive, Middletown, PA.
- The resource shall attend onsite meetings at one of the PTC Middletown PA locations for 1 week per calendar quarter based on the schedule set by the PTC.
- In-person interviews or work sessions with stakeholders will be conducted at the PTC facilities in Middletown, PA.
- The resource may be required to provide onsite post go-live support activities at one of the PTC Middletown PA locations. This includes one or more one-to-two week tours of duty onsite on a rotating basis with other team members. The post go-live support period is planned for the six months beginning immediately after the UBOS is “live” with active customers.
- The resource shall attend an orientation session onsite at one of the PTC’s Middletown, PA offices. The resource shall be onsite for the full day of this orientation where they will pick up any assigned PTC Equipment, by the resource. Equipment will not be shipped and cannot be pick up by anyone other than the selected resource. Travel costs associated with picking up this equipment plus the orientation day will not be reimbursed.
- No additional compensation for any travel required, if the resource is based within a 3-hour commuting distance. The rate is inclusive of any travel costs.
Requirements
Skill | Required / Desired | Amount | of Experience |
Strong professional experience with Python (must be clearly demonstrated in resume). | Required | | |
Solid background in software engineering: Object Oriented Programming (OOP), design patterns, clean code, and testable architectures. | Required | | |
Experience with image processing and computer vision frameworks (e.g., OpenCV, Pillow). | Required | | |
Hands-on experience with machine learning frameworks (e.g., PyTorch, TensorFlow). | Required | | |
OCR-related experience (such as Tesseract, PaddleOCR, EasyOCR, or custom models). | Required | | |
Familiarity with object detection (such as YOLO, Faster R-CNN, SSD, etc.). | Required | | |
Knowledge of classification, feature extraction, and evaluation metrics for vision tasks. | Required | | |
Proficient in the Microsoft Office 365 suite of software including Teams, Word, Excel, and PowerPoint, plus proficient in Microsoft ADO Testing Module | Required | | |
Bachelor’s degree in business management or information systems; Equivalent combination of education and/or experience may be accepted. | Required | | |
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