AI/ML Engineer (AU)

Job Description

About the role

Join a cutting-edge team at DroneShield, where you’ll help develop advanced machine learning solutions that address real-world challenges. Your focus will be on applying state-of-the-art computer vision techniques to enhance our products, working alongside experts in signal intelligence and software engineering. In this fast-paced, multidisciplinary environment, we value innovation, technical excellence, and the ability to perform under pressure. You’ll play a key role in maintaining and refining existing deep learning models, optimising performance, and delivering impactful solutions on tight timelines — all while solving challenging problems that make a real difference in high-stakes scenarios.

Responsibilities, Duties and Expectations 

• Maintain, refine, and extend existing deep learning models and inference pipelines.
• Evaluate and benchmark model performance on curated datasets and real-world test cases.
• Validate model predictions in operational or field environments and ensure deployment readiness.
• Monitor model performance in production, identify issues, and contribute to continuous improvement.
• Analyze datasets to identify gaps, inconsistencies, or opportunities for enrichment.
• Collaborate with the Signal Intelligence Operations team to support data collection and annotation.
• Work closely with software engineers to integrate and optimise ML models within production systems.
• Write clean, maintainable, and well-documented code to support model development and deployment.

Qualifications, Experience and Skills 

• 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.
• Excellent communication and collaboration skills, with the ability to work effectively in a multidisciplinary team environment.
• Academic research experience in deep learning and computer vision is desirable.
• Experience with radio frequency datasets is a plus.

Are you interested in this position?

Apply by clicking on the “Apply Now” button below!

#GraphicDesignJobsOnline

#WebDesignRemoteJobs #FreelanceGraphicDesigner #WorkFromHomeDesignJobs #OnlineWebDesignWork #RemoteDesignOpportunities #HireGraphicDesigners #DigitalDesignCareers# Dynamicbrand guru Description: