L2 Systems Engineer

No third parties

W2 candidates only

U.S. citizens and lawful permanent residents only

• 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.

• 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