Deskripsi Pekerjaan
Are you a visionary engineer passionate about bridging the gap between raw data and actionable AI insights? Accion Labs is seeking a highly skilled Data Automation Engineer to join our innovation team in Penang. In this role, you will be at the forefront of developing sophisticated AI and Computer Vision pipelines that automate complex workflows and drive decision-making processes.
You will collaborate with cross-functional teams to design, deploy, and maintain scalable machine learning models. We are looking for an individual who thrives in a fast-paced environment and possesses a deep understanding of image processing, deep learning frameworks, and automation strategies. If you are eager to push the boundaries of AI technology and make a tangible impact on global products, we want to hear from you.
Tanggung Jawab
- Design and implement end-to-end data automation pipelines for large-scale AI projects.
- Develop and optimize computer vision models for image classification, object detection, and segmentation.
- Collaborate with data scientists to transition research-based ML models into production-ready environments.
- Automate data preprocessing, cleaning, and augmentation tasks to improve model performance.
- Maintain and monitor deployed AI solutions to ensure high availability, accuracy, and scalability.
- Troubleshoot performance bottlenecks and implement solutions to optimize computational efficiency.
- Document technical workflows and best practices to foster knowledge sharing within the engineering team.
Kualifikasi
- Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, or a related field.
- Proven professional experience in building, deploying, and scaling machine learning solutions.
- Expertise in Computer Vision libraries (e.g., OpenCV, Dlib) and deep learning frameworks (e.g., TensorFlow, PyTorch, Keras).
- Strong proficiency in Python and experience with automation frameworks or workflow orchestration tools.
- Hands-on experience with cloud platforms (AWS, Azure, or GCP) for ML model hosting.
- Solid understanding of SQL/NoSQL databases and data ingestion pipelines.
- Excellent problem-solving skills with a focus on delivering high-quality, efficient code.