Job description

Automation & Machine Learning Engineer (Bilingual Korean) Location: Coppell, TX, USA Employment Type: 12 + month contract to (hire + multi-extension capability) Experience Level: Entry to Mid-Level (0–3 Years Experience) Rate: 44.00 /hr. W2 Position Summary We are seeking an analytical, tech-savvy Automation & Machine Learning Engineer (Bilingual Korean) to drive process automation, data analytics, and intelligent manufacturing solutions. In this role, you will collaborate with cross-functional teams to identify automation opportunities, develop customized software and RPA workflows, and apply machine learning and statistical modeling to optimize operational efficiency. This is an ideal opportunity for a junior-to-mid-level engineer or data specialist with strong programming fundamentals, statistical fluency, and bilingual Korean/English communication skills to build cutting-edge solutions in a fast-paced environment. Top Core Competencies Bilingual Proficiency (Korean & English): Native or professional fluency in written and spoken Korean and English to collaborate effectively with local and global engineering teams. Python & Machine Learning: Practical knowledge of Python, statistical modeling, and Artificial Intelligence (AI) principles applied to process automation and data analysis. Process Automation (RPA & Software): Hands-on experience or coursework in Robotic Process Automation (RPA) tools and custom scripting (JavaScript/Python) to automate repetitive workflows. Key Responsibilities Automation Opportunity Identification: Collaborate with cross-functional stakeholders to evaluate operational and manufacturing workflows, identifying key opportunities for digital automation and efficiency gains. System Design & RPA Deployment: Design, build, and deploy customized automation solutions, including Robotic Process Automation (RPA) systems programmed to execute repetitive tasks autonomously. Testing, Validation & Monitoring: Conduct thorough testing and validation procedures to ensure seamless system integration; continuously monitor automated workflows and make iterative adjustments to maximize productivity. Statistical & Machine Learning Analysis: Analyze complex operational data sets from multiple angles to surface discrepancies, evaluate system performance, and implement predictive AI/ML models. Team Enablement & Training: Develop technical documentation and lead training sessions for team members on new automation tools, best practices, and standard operating procedures. Qualifications & Requirements Education & Experience: Education: Bachelor’s degree in Computer Science, Data Science, Electrical/Industrial Engineering, Information Systems, Mathematics, or a related technical discipline required. Experience: 0 to 3 years of job-related engineering, automation, or analytics experience. (Prior experience within the telecommunications or electronics industry is a strong plus). Language Skills: Bilingual Korean & English fluency required (written and verbal). Technical & Mathematical Skills: Proficiency in programming languages, specifically Python and JavaScript. Practical understanding of Artificial Intelligence (AI) principles, Machine Learning (ML) models, and big data analytics/visualization tools. Exposure to Robotic Process Automation (RPA) applications (e.g., UiPath, Automation Anywhere, or custom scripts). Strong mathematical and statistical fluency—must be comfortable using and referencing statistical concepts (normality, probability distributions, complex numbers, logarithms, and variance analysis). Proficiency with standard enterprise tools, including advanced Microsoft Excel, Word, and database applications (Access/SQL). #IND #LI-DC2

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machine learningpythonaijavascriptmlsql

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