وظائف مطورين بايثون - العين الإمارات

<p>We are looking for a hands-on full stack developer to help build and improve a detection software system with multiple features such as detection, classification, and counting objects from 3D point cloud data end to end. This is a full-time, on-site Software Engineer/developer role based in Al Ain , United Arab Emirates. Daily responsibilities include implementing back-end services and APIs, writing clean and testable code, integrating software with hardware and third-party platforms, and troubleshooting issues in production environments. The role involves collaborating with cross-functional teams, contributing to system to technical documentation, and participating in code reviews and continuous improvement initiatives. The Software Engineer/developer will also help ensure that solutions remain secure, scalable, and aligned with client requirements and industry standards.</p><p>Responsibilities: • Build and maintain the LiDAR pipeline in Go and Python. • Develop and improve object detection, classification, and counting. • Build the React.js dashboard for visualizing point clouds and results. • Optimize the pipeline for speed, accuracy, and reliability. • Write clean, tested code and help shape technical decisions. Qualifications needed : • Strong, practical experience with Go and Python. • Solid experience building web interfaces with React.js. • Working knowledge of computer vision or 3D / point cloud data. • Ability to do basics of software analysis • Understanding of object detection and classification techniques. • Bachelor’s degree in Computer Science, Software Engineering, or a related technical field, or equivalent practical experience. • Strong problem-solving abilities, attention to detail, and the capacity to work effectively in a diverse, on-site team environment. • Good written and verbal communication skills in English; knowledge of Arabic is a plus. Nice to Have: • Experience with LiDAR or other sensor data. • Experience with ML frameworks such as PyTorch or TensorFlow. • Experience with point cloud tools such as PCL or Open3D. • Familiarity with AI coding assistants such as Claude Code.</p>

<ul><li><p>Develop and deliver well-structured, engaging lectures and coursework on AI, Machine Learning, and related subjects to undergraduate and graduate students.</p></li><li><p>Ensure that the classroom environment is conducive to learning, encouraging student interaction and participation.</p></li><li><p>Review and revise courses, programs, and assessments in line with quality assurance and enhancement standards.</p></li><li><p>Develop innovative and effective teaching methods, integrating modern AI tools and frameworks.</p></li><li><p>Provide timely, constructive feedback on student coursework, projects, and examinations.</p></li><li><p>Offer general academic support and guidance to students, addressing their concerns and referring to specialized resources when necessary.</p></li><li><p>Actively engage in faculty and program initiatives, contributing to departmental and university goals, and supporting accreditation processes.</p></li><li><p>Work collaboratively with faculty, staff, and students to ensure an enriching and productive student experience.</p></li><li><p>Perform any additional duties as requested by the Program Director or Dean.<br></p></li></ul><p><strong>Desired Candidate Profile</strong></p><ul><li><p>4+ years of professional experience in teaching AI-related subjects at the university level.</p></li><li><p>Strong proficiency in programming languages such as Python, R, Java, or C++ and familiarity with AI frameworks like TensorFlow, PyTorch, Keras, and Scikit-learn.</p></li><li><p>Excellent verbal and written communication skills with the ability to interact effectively with students, colleagues, and the academic community.</p></li><li><p>Demonstrated ability to work collaboratively in a diverse, multicultural academic environment.</p></li><li><p>Research published in reputable journals indexed in the Scopus database</p></li><li><p>A passion for mentoring students in research and supporting their academic and professional growth.</p></li></ul>