Leads machine learning projects, providing technical guidance and mentor-ship to junior and mid-level engineers. Design, develop, and implement data-driven solutions, leveraging machine learning techniques to enhance our In-Flight Entertainment & Connectivity (IFEC) systems. Collaborate with cross-functional teams to drive innovation and elevate the passenger experience through advanced technological solutions.

 Technical Leadership

 Lead the design and implementation of complex, robust, scalable, and high- performance data-driven systems, integrating machine learning algorithms to improve content delivery, personalization, and connectivity services.

 Algorithm Development & Implementation

 Develop and deploy machine learning models, predictive analytics, and data- driven strategies to optimize user experiences and enhance IFEC functionalities.

 Develop machine learning frameworks, tools, and technologies. They often have expertise in specialized areas such as distributed computing, deep learning, or natural language processing. They may also have contributed to open-source projects or developed custom tools and libraries.

 Machine Learning Infrastructure & Engineering

 Plays a key role in architectural decisions related to machine learning infrastructure and deployment pipelines.

 Represent the team in discussions with stakeholders, articulating technical concepts and recommending strategical technical direction.

 Designs scalable and efficient machine learning pipelines, leveraging cloud- based platforms and distributed computing frameworks.

 Experimentation & Innovation

 Explore emerging trends and technologies in machine learning, conduct research, and propose innovative approaches to improve our IFEC offerings.

Publish technical papers and submit patents.

 Cross-functional Collaboration

 Work collaboratively with data scientists, software engineers, product managers, and internal and external stakeholders, effectively communicating technical concepts and insights to drive project alignment and success.

 Performance Optimization

 Continuously monitor and optimize the performance of machine learning models, identifying areas for improvement and implementing enhancements to achieve optimal results.

 Mentorship & Knowledge Sharing

 Mentor engineers, provide technical guidance, and contribute to the development of a culture of excellence and continuous learning within the team.

 Demonstrated proficiency in programming languages such as Python, Java, or similar, along with expertise in machine learning frameworks (e.g., TensorFlow, PyTorch) and data processing technologies.

 Demonstrated leadership skills with the ability to lead technical initiatives, collaborate effectively across teams, and drive projects to successful completion.

 Excellent problem-solving abilities, critical thinking, and a passion for innovation and technology. Ability to write technical publications.

EDUCATION/EXPERIENCE REQUIREMENTS

 Bachelor’s degree in Computer Science, Data Science, Software Engineering, or a related field. Advanced degree preferred.

 5 to 8 years of experience in software engineering, with a focus on data-driven applications, machine

 Demonstrated proficiency in programming languages such as Python, Java, or similar, along with expertise in machine learning frameworks (e.g., TensorFlow, PyTorch) and data processing technologies.

 Demonstrated leadership skills with the ability to lead technical initiatives, collaborate effectively across teams, and drive projects to successful completion.

 Excellent problem-solving abilities, critical thinking, and a passion for innovation and technology. Ability to write technical publications.

EDUCATION/EXPERIENCE REQUIREMENTS

 Bachelor’s degree in Computer Science, Data Science, Software Engineering, or a related field. Advanced degree preferred.

 5 to 8 years of experience in software engineering, with a focus on data-driven applications, machine