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Flexjet

AI Engineer

Flexjet
Cleveland, OH Full time Posted 8d ago
Ai Engineer Artificial Intelligence Data Pipeline Data Processing Deep Learning Integration Machine Learning Machine Learning Engineer Machine Learning Pipelines
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Job Description

Build AI that improves real user experiences

Flexjet is hiring an AI Engineer in Cleveland, OH (onsite) to design, develop, and deploy machine learning and AI solutions. The role centers on creating scalable, production-ready AI systems, working closely with cross-functional partners to translate business goals into models and workflows that deliver measurable value.

Responsibilities

  • Design and develop machine learning and deep learning models for real-world applications
  • Build, test, and deploy AI/ML pipelines across production environments
  • Partner with cross-functional teams to turn business requirements into AI-driven solutions
  • Improve model performance, scalability, and reliability over time
  • Work with large datasets, including preprocessing, feature engineering, and data validation
  • Implement APIs and integrate AI models into existing systems
  • Monitor model performance and retrain as needed
  • Stay current with advancements in AI and machine learning

Requirements

  • 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 such as TensorFlow, PyTorch, or scikit-learn
  • Solid understanding of algorithms, data structures, and software engineering principles
  • Experience with data processing tools like Pandas, NumPy, and SQL
  • Familiarity with cloud platforms: AWS, Azure, or Google Cloud
  • Knowledge of RESTful APIs and microservices architecture

Technologies you may work with

Python, Java, C++, TensorFlow, PyTorch, scikit-learn, Pandas, NumPy, SQL, AWS, Azure, Google Cloud, RESTful APIs, microservices architecture, Docker, Kubernetes, CI/CD pipelines, Spark, Hadoop

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 such as Spark and 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

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