Duncan Aviation · 6 hours ago
Artificial Intelligence Engineer
Duncan Aviation is seeking a highly driven Artificial Intelligence (AI) Engineer to support and grow their AI initiatives. The AI Engineer will be responsible for designing, developing, and implementing cutting-edge AI and machine learning solutions to optimize business processes and enhance end-user experiences.
Aerospace
Responsibilities
Collaborates with multidisciplinary teams, including project managers, data engineers/scientists, software engineers, business analysts, and business stakeholders, to understand and define the business problems that need to be solved using AI technologies and other mathematical techniques, while considering business objectives, requirements, and constraints
Researches, prototypes, and conducts experiments to compare AI/ML tools, models, architectures, and algorithms. Uses independent judgement and research insights to select appropriate AI/ML models and algorithms based upon the business problem to be solved
Collaborates with data engineers/scientists, domain experts, and team members to understand data sources and prepare datasets for AI/ML modeling including data cleaning, preprocessing, validation, and feature engineering
Designs, builds, trains, and fine-tunes AI/ML models, which may include hyperparameter tuning, to solve business problems. Implements appropriate evaluation metrics to test, validate, and monitor AI/ML models and systems. Determines when to retrain and update AI/ML models based upon model drift, data growth, or requirement changes
Works closely with team members, software engineers, and domain experts to integrate and deploy AI systems and models, including large language model-based systems such as retrieval-augmented generation or multi-agent systems, with production data, workflows, systems, and applications. Optimizes inference model pipelines for real-time performance and scale
Creates clear and concise documentation of AI systems, models, algorithms, assumptions, and processes. Tracks key performance indicators, project progress, and results to provide regular reports and updates to project and business leadership. Communicates model architecture, decisions, behavior, and results to both technical and non-technical audiences
Stays up to date with the latest AI techniques and tools, including algorithms, deep learning frameworks, large language models, and natural language processing techniques
Collaborates with team members to create, administer, and maintain CI/CD and MLOps pipelines
Ensures AI solutions adhere to ethical guidelines, data privacy regulations, and other legal requirements, while addressing potential bias, fairness, and explainability concerns
Performs other duties as assigned
Qualification
Required
Bachelor's degree in Computer Science, Engineering, Mathematics, or related field required
Proficiency in Python required
Strong problem-solving and analytical skills required
Excellent communication and collaboration skills required
Ability to work independently and within a team environment required
Eagerness to learn, adapt, and grow in a fast-paced, dynamic environment required
Valid driver's license and acceptable driving record
Regularly scheduled attendance is required
Reads small print, repetitive motion, tolerates standing, walking, bending, kneeling, stooping, crouching, and sitting
Preferred
A background in Machine Learning, Statistics, or Data Science is strongly preferred
Familiarity with additional programming languages such as Java or C++ beneficial
Experience working with machine learning algorithms and frameworks, such as TensorFlow, PyTorch, Scikit-learn or equivalent preferred
Experience with data processing and manipulation tools, such as NumPy, Pandas, SQL or equivalent preferred
Company
Duncan Aviation
Duncan Aviation provides premier business aircraft services–delivered on time–for a wide variety of business aircraft.
Funding
Current Stage
Late StageRecent News
EIN Presswire
2025-07-28
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