Senior AI & ML Engineer

About Company

Reblade is a Danish tech startup developing drone-based and robotic systems for automated wind turbine blade repairs. Our award-winning team combines expertise in robotics, computer vision, and cloud software to deliver innovative solutions for leading wind energy operators. With a culture of autonomy and technical excellence, we are shaping the future of sustainable energy technology.

About the Role

We are seeking a skilled AI & Machine Learning Engineer with deep experience in computer vision, model development, and MLOps pipelines. The ideal candidate will work closely with robotics and software teams to design and deploy intelligent systems for automated blade surface inspection, defect detection, and autonomous perception.

Key Responsibilities

• Design algorithms for feature extraction, defect classification, and visual analytics.
• Develop and train deep learning models (CNNs, transformers) using PyTorch or TensorFlow.
• Create automated data ingestion, labeling, and preprocessing pipelines.
• Integrate MLOps tools (Azure ML, MLflow, Kubeflow) for retraining, validation, and deployment.
• Optimize models for edge deployment (Jetson, Raspberry Pi) and ROS2 integration.
• Ensure proper data management and maintain AI development documentation.

Requirements

• Proven experience in computer vision, deep learning, and AI model deployment.
• Strong understanding of neural network architectures, data pipelines, and MLOps tools.
• Familiarity with edge computing and ROS2 integration is a plus.
• Fluent in English (asynchronous communication with global teams).
• A reliable laptop/PC, noise-cancelling headset, stable internet connection with backup power, and access to a quiet workspace.

Location: Remote (Full-time, flexible) - Pakistan
Hours (PKT): 11:00 - 20:00 (aligned with CET business hours)
Experience: 5+ years
Education: Bachelor’s or Master’s in Computer Science, Artificial Intelligence, or a related field (recommended, not mandatory)

Why Join Us

• 100% Remote and Flexible role
• Collaborative, international team culture
• Focus on innovation, learning, and professional growth

How to Apply

Google form link (required google account to fill-up the form): https://forms.gle/vMzz5xbQRr3Fb3W29

For any technical issues or assistance while filling out the form, please reach out to us at

Hiring Process

• Shortlisting of candidates
• Initial phone/video screening (15 min)
• Technical assignment (with deadline)
• Technical interview (1 hour)
• Final interview (offer and administration)

Key Responsibilities

• Design algorithms for feature extraction, defect classification, and visual analytics.
• Develop and train deep learning models (CNNs, transformers) using PyTorch or TensorFlow.
• Create automated data ingestion, labeling, and preprocessing pipelines.
• Integrate MLOps tools (Azure ML, MLflow, Kubeflow) for retraining, validation, and deployment.
• Optimize models for edge deployment (Jetson, Raspberry Pi) and ROS2 integration.
• Ensure proper data management and maintain AI development documentation.