Danish Award-winning Team and Technology

Reblade is a Danish tech startup founded in 2020, developing automated wind turbine blade repairs. We design and build drone-based and robotic systems that utilize computer vision, sensors, and cloud software to deliver accurate and efficient operations and reporting workflows for some of the world's largest wind energy operators.

Our team consists of highly skilled engineers within robotics, mechanical engineering, control systems, embedded systems, computer vision, and other software specialists. We have several PhDs, post-docs and a professor on the team. The majority of our employees have relocated from all over the world to Denmark, creating a strong international culture of autonomy, technical excellence, and collaborative innovation.

Our team is proud Eurostars, Eureka, and EIC Accelerator award winners through Horizon Europe and the European Innovation Council. We are also proud winner of the #1 Startup in AI 2023, #1 Robotic Startup 2024 in Odense Robotics and #1 Startup in Energy Transition 2024 in EU (see more at https://www.linkedin.com/company/reblade). We have a highly ambitious startup company culture, where everyone is a key player and has very important roles and responsibilities for our product development.

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 (min. 5+ years) 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)

• An articulate English (due to asynchronous communication with a global, English-speaking team)

• A home office with fast and stable internet connection (15Mb/s), modern laptop/PC, noise-cancelling headset and access to a quiet workspace

Position Details

• Location: Remote (Full-time, flexible) - Pakistan

• Hours (PKT): 11:00 - 20:00 (aligned with CET business hours)

What We Offer

• Flexibility: 100% remote role

• Great colleagues: We have a collaborative, international team culture

• Builder-maker company: Focus on innovation, learning, and professional growth 

• Clear Growth Path: Evolution to an expert role based on actual delivery performance (not meeting attendance records)

• Real Responsibility: Report directly to top leadership with power to reshape teams and processes that actually matter for results

• Results-First Environment: Join a culture where getting stuff done beats looking busy every single time

• International Team: Work alongside professionals who chose substance over corporate comfort zones

• Technical Excellence: Collaborate with award-winning team who chose impact over job titles

• Meaningful Mission: Drive renewable energy innovation through tech that actually works in the real world

Location

Remote (Pakistan)

Contract

Full-time freelance contract

Timeline and Application Procedure

We are looking to fill this position by January for the right candidate. Shortlisted candidates will be invited to interviews and practical assessments. Deadline for applications is December 12, 2025.

We look very much forward to introducing you to our award-winning team and meeting you!

Industry

Wind Electric Power Generation

Ready to build something that matters? Skip the corporate theater and apply to help us revolutionize wind energy through tech that actually works. Bonus points if you've ever wondered why it takes 7 approvals to order a laptop at most companies.