job description
Join Adecco as a Senior Video Analytics & AI Engineer in the heart of Bali, Indonesia! This is a unique opportunity to work at the intersection of computer vision, machine learning, and real-time video processing while enjoying the vibrant culture and work-life balance of one of the worldâs most sought-after destinations.
In this role, you will design, develop, and deploy cutting-edge AI-driven video analytics solutions that power intelligent surveillance, automation, and data-driven decision-making. Youâll collaborate with cross-functional teams to push the boundaries of whatâs possible in real-time object detection, behavioral analysis, and predictive modeling.
Whether you're optimizing algorithms for edge devices or scaling cloud-based video processing pipelines, your work will have a direct impact on industries like smart cities, retail analytics, security, and industrial automation. Baliâs growing tech ecosystem offers a dynamic environment where innovation meets tropical inspiration.
Responsibility
- Design and implement real-time video processing pipelines using deep learning frameworks (TensorFlow, PyTorch, OpenCV).
- Develop and optimize computer vision algorithms for object detection, tracking, and classification.
- Collaborate with data scientists to train and fine-tune AI/ML models for video analytics applications.
- Deploy scalable cloud-based or edge-based solutions for video surveillance and automation.
- Integrate video analytics with IoT devices, APIs, and third-party systems for seamless data flow.
- Conduct performance benchmarking and optimize models for latency, accuracy, and resource efficiency.
- Stay ahead of industry trends in AI, video compression, and real-time analytics to drive innovation.
- Document technical specifications, workflows, and best practices for team adoption.
Qualifications
- Bachelorâs or Masterâs degree in Computer Science, Electrical Engineering, or a related field.
- 5+ years of experience in computer vision, video analytics, or AI/ML engineering.
- Proficiency in Python, C++, or Java and frameworks like TensorFlow, PyTorch, or OpenCV.
- Experience with cloud platforms (AWS, GCP, Azure) and containerization (Docker, Kubernetes).
- Strong understanding of deep learning, neural networks, and real-time data processing.
- Familiarity with video encoding/decoding (H.264, H.265, FFmpeg) and streaming protocols.
- Experience with edge computing (NVIDIA Jetson, Raspberry Pi, etc.) is a plus.
- Excellent problem-solving skills and ability to work in a fast-paced, collaborative environment.