Job Description
No third parties
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W2 candidates only
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U.S. citizens and lawful permanent residents only
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- Develop innovative Python models to solve complex automation process challenges and deliver high-end solutions, including building neural networks to identify and segregate scrap types.
- Configure, troubleshoot, and utilize Windows Operating Systems, Networking, virtualization, and Databases for Control System Applications.
- Install, maintain, and deploy L2 systems utilizing Database Engines such as MySQL, MS SQL, Oracle, PostgreSQL, Redis, MariaDB, Cassandra, or MongoDB for storing structured data for processes, operations, and advanced computing algorithms
- 3–5+ years of experience developing Python-based automation, data-processing, or machine-learning applications in an industrial, manufacturing, or engineering environment.
- Strong proficiency in Python and experience with libraries/frameworks such as NumPy, Pandas, SciPy, OpenCV, scikit-learn, TensorFlow, or PyTorch.
- Experience developing, training, validating, deploying, and maintaining machine-learning and neural-network models, particularly for computer vision, image classification, anomaly detection, or automated quality inspection.
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- Bachelor’s degree in Computer Science, Electrical Engineering, Computer Engineering, Automation Engineering, Data Science, or a related technical field.
- Experience in configuring, monitoring and troubleshooting systems
- Strong Python scripting and technical skills
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