POSITION SUMMARY
Flexjet is seeking a skilled and innovative AI Engineer to design, develop, and deploy machine learning and artificial intelligence solutions. You will work closely with data scientists, software engineers, and product teams to build scalable AI systems that drive business value and enhance user experiences.
DUTIES & RESPONSIBILITIES
· Design and develop machine learning and deep learning models for real-world applications
· Build, test, and deploy AI/ML pipelines in production environments
· Collaborate with cross-functional teams to translate business needs into AI solutions
· Optimize model performance, scalability, and reliability
· Work with large datasets: preprocessing, feature engineering, and data validation
· Implement APIs and integrate AI models into existing systems
· Monitor model performance and retrain as needed
· Stay up to date with the latest advancements in AI and machine learning
REQUIRED SKILLS & QUALIFICATIONS
· Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related field
· Strong programming skills in Python (and/or Java, C++)
· Experience with machine learning frameworks (e.g., TensorFlow, PyTorch, scikit-learn)
· Solid understanding of algorithms, data structures, and software engineering principles
· Experience with data processing tools (e.g., Pandas, NumPy, SQL)
· Familiarity with cloud platforms (AWS, Azure, or Google Cloud)
· Knowledge of RESTful APIs and microservices architecture
PREFERRED QUALIFICATIONS
· Experience with NLP, computer vision, or generative AI
· Familiarity with MLOps tools (e.g., Docker, Kubernetes, CI/CD pipelines)
· Experience deploying models at scale in production environments
· Knowledge of big data technologies (e.g., Spark, Hadoop)
· Understanding of AI ethics and responsible AI practices
· Problem-solving and analytical thinking
· Strong communication and collaboration skills
· Ability to work in a fast-paced, agile environment
· Attention to detail and commitment to quality
Skills Required
- Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related field
- Strong programming skills in Python (and/or Java, C++)
- Experience with machine learning frameworks (TensorFlow, PyTorch, scikit-learn)
- Solid understanding of algorithms, data structures, and software engineering principles
- Experience with data processing tools (Pandas, NumPy, SQL)
- Familiarity with cloud platforms (AWS, Azure, or Google Cloud)
- Knowledge of RESTful APIs and microservices architecture
- Experience with NLP, computer vision, or generative AI
- Familiarity with MLOps tools (Docker, Kubernetes, CI/CD pipelines)
- Experience deploying models at scale in production environments
- Knowledge of big data technologies (Spark, Hadoop)
- Understanding of AI ethics and responsible AI practices
- Problem-solving and analytical thinking
- Strong communication and collaboration skills
- Ability to work in a fast-paced, agile environment
- Attention to detail and commitment to quality
Flexjet Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Flexjet and has not been reviewed or approved by Flexjet.
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Retirement Support — Retirement benefits include a dollar-for-dollar 401(k) match up to 6%, with pilots eligible for added company retirement contributions and a deferred compensation program that begins after year three. Feedback suggests these features lift total retirement value beyond base pay for pilots and certified technicians.
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Wellbeing & Lifestyle Benefits — Pilot work rules emphasize home basing across 115+ domiciles, company-paid positioning on scheduled days, no reserve or calls on days off, and the ability to keep hotel and airline points. A high per diem and company-paid training further support day-to-day quality of life.
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Pay Growth & Progression — Pay is considered to have improved for pilots in 2024+, with first-year totals rising and base pay viewed as good relative to some Part 135 operators. Feedback suggests several non-flying roles track at industry standard or slightly above, aligning with local market medians.
Flexjet Insights
What We Do
Flexjet first entered the fractional jet ownership market in 1995. Flexjet offers fractional jet ownership and leasing. Flexjet’s fractional aircraft program is the first in the world to be recognized as achieving the Air Charter Safety Foundation’s Industry Audit Standard, is the first and only company to be honored with 21 FAA Diamond Awards for Excellence, upholds an ARG/US Platinum Safety Rating and is IS-BAO compliant at Level 2. Flexjet’s fractional program fields an exclusive array of business aircraft—some of the youngest in the fractional jet industry, with an average age of approximately six years. In 2015, Flexjet introduced Red Label by Flexjet, which features the youngest fleet in the industry, flight crews dedicated to a single aircraft and the LXi Cabin Collection of interiors. To date there are more than 40 different interior designs across its fleet, which includes the Embraer Phenom 300, Challenger 350, the Embraer Legacy 450 and Praetor 500, Global Express, the Gulfstream G450, G500, G650 and G700, and the Aerion AS2 supersonic business jets. Flexjet is a member of the Directional Aviation family of companies. For more details on innovative programs and flexible offerings, visit www.flexjet.com or follow us on Twitter @Flexjet and on Instagram @FlexjetLLC.
