This is an incredible opportunity for a passionate entry-level engineer or final-year B.Sc. student to kickstart their career and help shape the future of Digital Twin technology.
In this role, you will help design, implement, and optimize machine learning and computer vision models to process and extract insights from data captured by autonomous drones. Youll be mentored by industry experts, taking algorithms from theoretical concepts to real-world impact on a global scale. If you are a fast learner who loves solving complex mathematical and visual problems, we want to hear from you!
Job Description:
Hands-on Development: Assist in developing algorithms to solve challenging computer vision problems, helping automate survey analysis and drone flight planning.
Write Production-Ready Code: Bridge the gap between a Jupyter Notebook and real software. Youll write clean, modular Python code and integrate your solutions into our product pipelines.
Implement Modern Methods: Adapt and optimize state-of-the-art Deep Learning models (object detection, segmentation) for our massive drone imagery datasets.
Analyze & Experiment: Run feasibility studies, evaluate model performance, and help clean and curate high-quality datasets for training.
Learn & Grow: Work within an agile team of experts, adopting cutting-edge software development methodologies and iterating based on real-world feedback.
Requirements: Education: B.Sc. in Computer Science, Data Science, Electrical/Software Engineering, Physics, or a related exact science field.
Alternative is a final-year students with a strong academic track record, provided they can work at least 4 days a week.
Strong Coding Foundations: Highly proficient in Python. You know how to use Git, write clean code, and understand data structures.
Familiarity with classic computer vision libraries (OpenCV, NumPy, SciPy).
Academic/Project AI Experience: You have built, trained, or fine-tuned models using PyTorch or TensorFlow-whether for a major final university project, an academic lab, or a serious personal portfolio.
Core Math & Theory: Solid understanding of machine learning fundamentals, loss functions, and optimizers.
The "Startup" Mindset: A fast, independent learner who is resourceful, highly curious, and genuinely excited about computer vision and robotics.
Communication: Good English skills and a collaborative, "can-do" attitude.
Nice to have
● An outstanding final project (Capstone/Graduation project) focused on Deep Learning, 3D Reconstruction, or Computer Vision.
● Basic knowledge of 3D representations (point clouds, meshes), photogrammetry, or geometry.
● Familiarity with Cloud environments (AWS/GCP) or Docker.
● A passion for drones, robotics, or aviation.
This position is open to all candidates.