PAC Machine Learning Engineer IV

Machine Learning Engineer IV – Elevate In-Flight Entertainment & Connectivity Are you a seasoned Machine Learning Engineer with a passion for innovation? Join our dynamic team to lead cutting-edge machine learning projects that enhance our In-Flight Entertainment & Connectivity (IFEC) systems. This role offers the opportunity to work on complex data-driven solutions, collaborate with cross-functional teams, and mentor the next generation of engineers. Key Responsibilities: Technical Leadership (20%): – Lead the design and implementation of robust, scalable, high-performance systems. – Integrate machine learning algorithms to improve content delivery, personalization, and connectivity services. Algorithm Development & Implementation (20%): – Develop and deploy machine learning models and predictive analytics. – Create advanced machine learning frameworks, tools, and technologies. Machine Learning Infrastructure & Engineering (20%): – Make key architectural decisions for machine learning infrastructure. – Design scalable machine learning pipelines using cloud-based platforms and distributed computing frameworks. Experimentation & Innovation (10%): – Explore emerging machine learning trends and technologies. – Conduct research and propose innovative approaches to enhance IFEC offerings. Cross-functional Collaboration (10%): – Work closely with data scientists, software engineers, product managers, and stakeholders. – Communicate technical concepts and insights effectively. Performance Optimization (10%): – Continuously monitor and optimize machine learning model performance. – Implement enhancements to achieve optimal results. Mentorship & Knowledge Sharing (10%): – Mentor engineers and provide technical guidance. – Foster a culture of excellence and continuous learning within the team. Requirements: – Proficiency in programming languages such as Python, Java, or similar. – Expertise in machine learning frameworks (, TensorFlow, PyTorch) and data processing technologies. – Demonstrated leadership skills with the ability to drive technical initiatives. – Excellent problem-solving abilities and a passion for innovation. – Bachelor’s degree in Computer Science, Data Science, Software Engineering, or a related field (Advanced degree preferred). – 8+ years of experience in software engineering, focusing on data-driven applications, machine learning, or AI, preferably in aerospace or tech us and play a pivotal role in revolutionizing the in-flight experience through advanced machine-learning solutions!…