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Innovative Solutions Developer
1 month ago
This role involves developing digital solutions from concept to existence, focusing on customer needs and agile practices within the GE/CFM MRO network and at airline customers. Key responsibilities include designing and deploying machine learning models, leading development of large language models, and optimizing algorithms for aviation technology challenges.
Key Responsibilities:
- Design and deploy machine learning models for aviation and airside services.
- Develop and fine-tune large language models to enhance AI capabilities.
- Optimize algorithms using deep learning and computer vision to solve aviation technology challenges.
- Write efficient code in Python and other relevant languages.
- Oversee multiple AI projects, ensuring timely delivery.
- Explore new technologies to improve AI solutions, using innovation management techniques to produce market insights and robust problem definition.
- Ensure AI solutions meet customer needs, driving customer-centric innovation and market research to guide product enhancements.
- Develop solutions from concept to implementation.
- Lead prototype development and iteration with technical expertise.
- Apply domain knowledge to innovation challenges, using aviation/airline industry insights and data analysis to position products and inform strategy.
- Communicate technical concepts to non-technical stakeholders, building relationships with stakeholders to align products with market needs and business goals.
Required Qualifications:
- Bachelors degree from an accredited college or university and 1+ years of experience in aviation product management, maintenance services, operations or engineering.
- Experience in executing innovative product development with a focus on agile and customer-centric methods.
- Additional qualifications and/or Bachelor's or master's degree in computer science, Engineering, or a related field.
- Minimum of 2+ years of experience in machine learning, AI, or a related field.
Desired Characteristics:
- Airline maintenance or field service engineering experience.
- Proficiency in Python and libraries like TensorFlow, PyTorch, and scikit-learn.
- Strong understanding of deep learning and computer vision.
- Experience with large language models.
- Proven project management skills.
- Excellent influence and communication skills.
- Strong analytical and problem-solving abilities.
- Customer-focused with a passion for innovation.
- Strong sense of ownership and a commitment to delivering market-leading products.
- Skills in documentation, planning, marketing, and execution of product-related programs.
- Proven collaboration behaviors contributing to a high-performing team.
Additional Information:
Compensation Grade:
SPB3
Relocation Assistance Provided:
Yes
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