Job Description:
This position is an opportunity to work with cutting-edge technology, making a significant impact in various high-stakes scenarios. The ideal candidate will have hands-on experience in machine learning, specifically in computer vision applications, and be skilled in developing and training deep learning models using PyTorch.
The role involves maintaining, refining, and extending existing deep learning models and inference pipelines, as well as evaluating and benchmarking model performance on curated datasets and real-world test cases. Additionally, the successful candidate will validate model predictions in operational or field environments and ensure deployment readiness.
Maintaining model performance in production, identifying issues, and contributing to continuous improvement are also key aspects of this position. The ideal candidate will analyze datasets to identify gaps, inconsistencies, or opportunities for enrichment, collaborate with the Signal Intelligence Operations team to support data collection and annotation, and work closely with software engineers to integrate and optimize ML models within production systems.
Required Skills and Qualifications:
* Bachelor's degree in Computer Science, Data Science, or a related technical field (or equivalent practical experience)
* 2+ years of hands-on experience in machine learning, specifically in computer vision applications
* Solid experience in developing and training deep learning models using PyTorch
* Demonstrated ability to tune hyperparameters (e.g., learning rate, confidence thresholds) and evaluate model performance using standard metrics
* Skilled in analysing, labelling, and preprocessing real-world datasets for model training and evaluation
* Proficient in exploratory data analysis using Pandas, and data visualisation using Matplotlib or Plotly
* Familiar with state-of-the-art deep learning architectures in computer vision (e.g., U-Net, ResNet, YOLO)
* Strong Python programming skills, with knowledge of modern libraries and software engineering best practices
Benefits:
This role offers the opportunity to work in a fast-paced, multidisciplinary environment where innovation, technical excellence, and collaboration are highly valued. As a member of our team, you will contribute to the development of advanced machine learning solutions that address real-world challenges, and play a key role in shaping the future of AI and ML.
Who We Are Looking For:
* You are comfortable pushing the boundaries of ML model performance in production environments
* You enjoy the ML workflow end-to-end, from data collection to production monitoring
* You are a lifelong learner, self-taught and continuously learning
* You are experienced working with modern infrastructure and tools
* You can work both autonomously and thoughtfully as a team