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Artificial Intelligence Researcher


As an Artificial Intelligence Researcher you will apply emerging AI technologies to help create product concepts that generate business value. You participate in airline research in order to provide technical and new business ideas. Research focus is on delivering navigation, crew, fleet, maintenance and flight optimization solutions. Works in a fast pace self-directed global team environment and performs a variety of duties, such as market and business needs analysis, workflow and information analysis, system specification, innovative/creative systems design with associated business value, and concept evaluations with user centered design approach. Investigates emerging technology & aviation market trends. Assists with coordination of internal and external customer consultations, demonstrations, and presentations. Assists with generation of high level estimates for R&D proposals. Collaborates with peers; coaches university students.

Main Responsibilities and Tasks

•    Serves as technical & business solutions researcher providing domain experience to peers and management; assists team members and directs future concepts

•    Workflow and information analysis in a self-directed global team, including market focused approach and analysis, system specifications, innovative/creative systems design and concept evaluations with customers, applying known techniques in creative ways.

•    Supports labor estimates for iteration planning and future project planning. Identifies and enlists internal and external partners to be used in departmental research efforts.

•    Researches aviation market trends and utilizes emerging AI technologies to provide new technical business value proposition for future product concepts with high business value

•    Follows best practices from agile processes, works in an iterative and innovative project framework and supports minimal documentation during concept development as appropriate to research environment. Makes recommendations for improvements to existing processes.

•    Researches important targets and areas for innovation, including intellectual property submissions, patents, and publications.

•    Communicates with internal and external stakeholders and customers, including iteration and design reviews, industry presentations, possible participation in industry working groups, R&D proposal reviews, and other support as needed.

•    May oversee individual thesis and project work with university students, including working with universities to onboard students; establish national and international university relationships.

•    Attends conferences and reports out on trends and technologies identified.

Your Minimum Qualification:

•    Technical bachelor's degree and typically 5 or more years' related work experience or a Master's degree with typically 3 or more years' or a PhD degree or an equivalent combination of education and experience. A technical degree is defined as any four year degree, or greater, in a mathematic, scientific or information technology field of study

•    Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks

•    Experience working with and creating data architectures

•    Entrepreneurial initiative with a strong ‘hands-on’ mentality and problem solving skills with an emphasis on product concept development, loves getting things done

•    Motivated by an international and fast-paced work environment with a strong team spirit and motivational character

•    Excels in building cohesive teams through innovation, design thinking and professional collaboration

•    Experience working with research & product teams and/or designers to drive insights into product solutions

•    Strong written and verbal communication skills for coordinating across teams.

•    Ability to push boundaries while maintaining a well-structured way of working in self-directed teams and a collaborative environment amongst business as well as academic partners

The ideal candidate would also have:

•    Aviation or Airline industry experience

•    Experience in business model frameworks and methodology, e.g. Product Value Proposition Design & Business Canvas Modeling

•    Experience with Deep Learning, Deep Networks, Natural Language Processing and Understanding (NLP/NLU)

•    Coding knowledge and experience with agile software development methodologies


Technical degree in a related field of study and typically 5 or more years' related work experience or an equivalent combination of education and experience.


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