AIKO - Infinite ways to autonomy

Machine Learning Engineer

• Lead the development and deployment of machine learning models, with a focus on computer vision and image processing, ensuring seamless integration into hardware-embedded systems.
• Design, implement, and maintain robust MLOps pipelines using tools such as Git, MLFlow, and Kubernetes to streamline model deployment and management in production environments.
• Collaborate with cross-functional teams, including software engineers, data scientists, and hardware specialists, to develop and optimize ML applications tailored for embedded systems.
• Utilize Python, C++, and relevant ML libraries (e.g., PyTorch, TensorFlow) to develop, train, and deploy deep learning models, emphasizing high performance and reliability.
• Manage and handle large datasets, ensuring efficient data preprocessing and analysis, storage, and access for ML model training and evaluation.
• Contribute to the product design process, providing technical insights and guidance to ensure ML solutions align with user needs and product goals.
• Continuously improve model accuracy and performance, applying best practices in software quality, version control, and testing.
• Disseminate results and insights effectively through internal presentations, documentation, and external publications, showcasing the impact of your work.
• Foster a culture of continuous improvement, driving innovation, and advocating for new methodologies and tools that enhance the company's capabilities.

Machine Learning Engineer – Earth Observation

Full-stack Engineer

• Develop and maintain high-performance autonomy software systems
• Implement effective algorithms for real-time planning, scheduling, and decision-making
• Develop onboard autonomy systems for satellite operations
• Work with simulation and testing environments to validate software functionality
• Document code and write technical documentation; contribute to reviews and project milestones
• Collaborate with cross-functional teams to integrate software components into products
• Ensure improvements in algorithms' capability, performance, and overall technological innovation
• Stay updated with the latest advancements in autonomous systems and space technology

Junior Autonomy Software Engineer

Sales

• Own the end-to-end sales cycle for gifted_GENE: prospecting, pitching, negotiating, and closing deals
• Build account plans targeting satellite operators, launch providers, and manufacturers
• Deliver demos and presentations showcasing gifted_GENE’s impact
• Manage and coach a team of two SDRs to generate and qualify pipeline
• Define qualification criteria, set KPIs, and refine messaging and targeting
• Provide regular forecasts, pipeline updates, and SDR performance reports to the Mission Solutions Manager
• Represent AIKO at key space industry events and conferences to generate and convert leads
• Collaborate with product managers to share client feedback and influence roadmap development
• Partner with marketing to create targeted campaigns supporting lead generation and deal progression
• Report directly to the Mission Solutions Manager

Sales Manager

• Design, develop, and maintain high-performance onboard autonomy software systems for satellite operations
• Implement real-time planning, scheduling, and decision-making algorithms
• Work with simulation and testing environments to validate software functionality
• Document code and write technical documentation; contribute to reviews and project milestones
• Collaborate with cross-functional teams to integrate software components into products, ensuring technical excellence and meeting deadlines
• Continuously improve algorithms' capability, performance, and overall technological innovation
• Stay updated with advancements in autonomous systems and space technology