Automation Systems Engineer

India

Business Unit:

Cubic Transportation Systems

Company Details:

We are seeking an Automation Engineer with expertise in Robotic Automation and Artificial Intelligence to design, implement, and optimize automation solutions that combine physical robotics with intelligent software. The ideal candidate will work on building or working on existing scalable robotic automation frameworks, integrating AI/ML for smarter decision-making, and deploying robotic systems that improve efficiency, accuracy, and business outcomes.

Job Details:

Key Responsibilities
Design & Development

Design, develop, and maintain robust automation frameworks and scripts primarily using Python and AI-powered applications.
Build intelligent bots and automation workflows using RPA tools and integrate them with AI services.
Design frameworks for end-to-end test automation of robotic and enterprise systems.

AI & Machine Learning Integration

Leverage AI/ML, computer vision, and natural language processing (NLP) to enable smarter robotic automation.
Train and deploy AI models for object detection, predictive analytics, and anomaly detection.
Collaborate with data scientists to incorporate machine learning models into automation pipelines.

System Integration

Integrate robotic and AI automation with enterprise systems, APIs, and cloud services.
Ensure seamless operation with CI/CD pipelines and DevOps environments.
Work on digital twins/simulation frameworks to validate robotic automation before deployment.

Monitoring & Optimization

Implement monitoring, logging, and real-time performance tracking of automated systems.
Continuously evaluate automation effectiveness and optimize for efficiency, scalability, and reliability.
Contribute to knowledge sharing, documentation, and reusable automation libraries.

Collaboration

Work closely with cross-functional teams (software engineers, QA, AI/ML experts, operations).
Support senior engineers in developing enterprise-level automation strategy.
Engage in proof-of-concept projects for emerging automation and AI technologies.

Required Skills & Qualifications

Education: Bachelor’s degree in Computer Science, Robotics, AI, Electrical Engineering, or related field.
Experience: 3–5 years in automation engineering, with exposure to robotics and AI-driven automation.

Technical Expertise

Hands-on experience with robotic automation frameworks (ROS, PLCs, IoT protocols, robotic arms).
Strong programming skills in Python, Java, or C++.
Familiarity with RPA tools (UiPath, Blue Prism, Automation Anywhere).
AI/ML knowledge: computer vision, NLP, TensorFlow, PyTorch, or equivalent frameworks.
Experience with cloud platforms (AWS, Azure, GCP) and DevOps pipelines.

Soft Skills