Summary
✨ AI‑Generated
A systems engineering position focused on developing automation solutions and supporting industrial computing environments. Responsibilities include Python development, machine learning applications, database systems, and infrastructure support.
Highlights
Hands-on role combining automation, machine learning, industrial systems, and advanced data processing solutions.
Description
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 algorithms3–5+ 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 systemsStrong Python scripting and technical skills
