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Machine Learning Engineer
2 months ago
Job Summary:
Loram Maintenance is seeking a highly motivated and detail-oriented Machine Learning / Artificial Intelligence Intern to assist in planning, researching, developing, and implementing new technologies for image processing and data analysis in the railroad industry.
Key Responsibilities:- Develop and implement ML and CV algorithms for various problems, including classification, identification, and robotics.
- Assist with planning and execution of software testing activities and complex technical projects.
- Participate in requirements gathering and evaluation methods for AI technologies and benchmark vendor technologies.
- Aid in the design, build, and implementation of AI solutions for proof of concepts and experiments.
- Evaluate the positive and negative aspects of competing technologies from the perspective of both the solution provider and the customer.
- Manage large amounts of data, including developing effective coding/scripting routines for automation of data management.
- Collaborate with team members to automate railway maintenance equipment.
- Deploy AI software to existing inspection systems operating in real-time environments.
- Integrate cutting-edge models into the training and annotation pipeline.
- Pursuing a BS or higher degree in Engineering or a related field and having achieved junior status or higher.
- Completed core coursework for the chosen discipline.
- Solid computer skills, including Microsoft Windows Office Suite, Python, PyTorch, OpenCV, Pandas, Linux, Docker, SQL, and C# experience.
- Ability to make decisions involving issues/problems and escalate when necessary.
The work environment is dynamic, with frequent exposure to vibration and occasional exposure to fumes or airborne particles and risk of electrical shock. The noise level is moderate.
Loram Maintenance is an Equal Opportunity Employer and makes all employment-related decisions without regard to race, color, religion, creed, sex, sexual orientation, gender identity, national origin, age, disability, marital status, familial status, status with regard to public assistance, membership or activity in a local commission, protected veteran status, or any other status protected by applicable law.