Senior Computer Vision Engineer

About The Job

• Lead the design, implementation, and optimization of computer vision algorithms that are effective and efficient.
• Develop deep learning models for real-time OCR, object detection, segmentation, and tracking.
• Collaborate with cross-functional teams to integrate AI/Computer Vision technology into our products and solutions.
• Conduct research and stay abreast of the latest advancements in the field to ensure our technology remains cutting‑edge.
• Mentor junior engineers and lead by example, promoting a culture of technical excellence.
• Drive the end‑to‑end machine learning lifecycle, including data collection, model training, and deployment.
• Troubleshoot and optimize AI systems for performance and scalability.
• Document and present best practices and development processes.

Minimum Qualifications

• Bachelor's Degree in Computer Science or STEM majors (Science, Technology, Engineering and Math) with significant experience.
• Minimum of 5 years of relevant experience in the design and deployment of AI models, particularly deep learning and computer vision.
• Strong programming skills in Python, Java, C++, or other programming languages. Experience with deep learning frameworks (TensorFlow, PyTorch, Keras).
• Familiarity with cloud services (AWS, Azure, GCP) and edge computing.
• Proven track record of solving complex problems with real‑world data.
• Ability to work in a fast‑paced, collaborative environment. Excellent communication and leadership skills.
• Understanding of full stack platform concepts and technologies.
• Recognizes patterns and complexity in problems. Extracts decomposition algorithms, and strategically plans how to execute programs by understanding how best to decompose to expose / protect against risk.

Preferred Qualifications

• Publications or a strong portfolio of projects in computer vision or related fields.
• Experience with 3D computer vision and sensor fusion.
• Knowledge of GPU programming and optimization.
• Experience with deploying AI solutions in embedded systems.

Business Acumen

• Prioritizes projects based on an assessment of competitive needs. Anticipates areas of competitive vulnerability and offers plans to mitigate them.
• Evangelizes new technology, predicts trends, and identifies new opportunities based on trends. Acts as industry expert by participating in defining standards and open source initiatives.
• Creates a culture of customer focus and high performance to drive innovation. Creates and pitches value for the GE investor while balancing that with the sometimes competing value for the external customer. Continuous engagement with focus on GE strategy for customer satisfaction.

Leadership

• Establishes framework for a culture of successful collaboration by defining a common understanding of who has decision rights and accountability, and how collaboration and transparency are rewarded.
• Establishes vision, identifies and champions internal/external best practices, tools, and ideas to improve execution and quality.
• Drives an organization of efficiency, accountability and ownership.
• Able to verbalize what is behind decisions and downstream implications. Continuously reflecting on success and failures to improve performance and decision‑making. Understands when change is needed. Participates in technical strategy planning.
• Innovates and integrates new processes and/or technology to significantly add value to GE. Identifies how the cost of change weighs against the benefits and advises accordingly. Proactively learns new solutions and processes to address seemingly unanswerable problems.
• Takes on technical challenges and direct the team to achieve a high level of understanding of the platform and industrial use cases.

Additional Information

GE is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law.