AI Engineer, Senior - Enterprise Value Creation (NJUS)
NetJets · Columbus, US
Job description
Company: NetJets Services, Inc. Area of Interest: Business Insights & Analytics Location: Columbus, OH, US, 43219 Req ID: 16548 Join the NetJets Team
NetJets, the global private aviation leader for more than 60 years, provides the pinnacle of private travel, defined by a signature commitment to unwavering safety, personalized service, and reliable global access. Discover why NetJets is the ultimate career destination, offering exceptional benefits and growth opportunities.
Purpose of Position
We are assembling a high-caliber team of AI experts to deliver transformative solutions across a portfolio of leading companies. The Senior AI Engineer will be a hands-on technical leader, responsible for designing, building, and deploying advanced AI systems that unlock measurable value. This role combines deep technical expertise with a passion for innovation and a relentless focus on business impact.
Tasks and Responsibilities
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AI Solution Development: Design, implement, and optimize AI/ML models, including generative AI, predictive analytics, and automation solutions.
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End-to-End Delivery: Own the full lifecycle of AI projects—from data ingestion and model training to deployment and monitoring in production environments.
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Scalable Architecture: Build robust, scalable, and secure AI systems leveraging cloud-native technologies and modern MLOps practices.
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Innovation & Experimentation: Rapidly prototype new ideas, evaluate emerging technologies, and translate them into practical applications.
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Cross-Functional Collaboration: Work closely with business leaders, data engineers, and analysts to ensure solutions align with strategic objectives.
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Performance & Compliance: Ensure models meet performance, fairness, and ethical standards while adhering to data governance policies.
Note:
It is not possible to list all required job duties on this form. There may be other important duties assigned, depending on the position. For a list of essential job functions, please refer to the essential functions document for this job.
Education
Bachelor's in Computer Science or related fieldCertifications and Licenses
Years of Experience
4-6 years of experienceCore Competencies
Adaptability Collaboration Curiosity Service-Oriented Strives For Positive ResultsKnowledge, Skills, Abilities and Other (KSAOs)
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Expert-level proficiency in Python and common AI/ML frameworks (TensorFlow, PyTorch, Hugging Face).
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Strong experience with LLMs, generative AI, and prompt engineering.
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Deep understanding of data engineering, feature pipelines, and distributed computing.
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Familiarity with cloud platforms (AWS, Azure, or GCP) and containerization (Docker, Kubernetes).
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Strong problem-solving skills and ability to translate business needs into technical solutions.
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Bachelor’s degree in Computer Science, Data Science, or related field; Master’s or Ph.D. preferred.
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6+ years of experience in AI/ML engineering, with a proven track record of deploying models in production.
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Experience in MLOps, CI/CD for ML, and model monitoring at scale.
How NetJets Supports You
NetJets is proud to provide a variety of attractive benefits to our employees, including many at no cost. Employees have access to no cost options including Medical, Dental, and Vision benefits, with access to robust networks of nationwide providers. NetJets offers benefits so you can LIVEWELL—a comprehensive package to support your Mind, Body, and Life.
Our comprehensive suite of benefits include:
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Medical, Dental, and Vision
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Healthcare Advocacy
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Employee Assistance Program
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Flexible Spending Accounts
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Health Savings Account with annual employer contribution
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Wellness Programs & Discounts
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Paid Time Off
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Parental Leave of Absence
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Life and Accident Insurance
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Voluntary benefits (financial protection plans)
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401(k) plan, with 66% of every dollar you contribute matched by NetJets
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Short and Long-Term Disability
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Legal Plan
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Identity Theft Protection Plans
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Pet Insurance
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Family & Caregiving Support
Nearest Major Market: Columbus
ML/AI Work links you to the employer's original posting — always verify the details there before applying.
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