AI Engineer

Cleveland, OH, US • Posted 1 day ago • Updated 8 hours ago
Full Time
On-site
Fitment

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Job Details

Skills

  • Deep Learning
  • Scalability
  • Data Validation
  • Computer Science
  • Data Science
  • Python
  • Java
  • C++
  • Machine Learning (ML)
  • TensorFlow
  • PyTorch
  • scikit-learn
  • Algorithms
  • Data Structure
  • Software Engineering
  • Data Processing
  • Pandas
  • NumPy
  • SQL
  • Cloud Computing
  • Amazon Web Services
  • Microsoft Azure
  • Google Cloud
  • Google Cloud Platform
  • RESTful
  • Microservices
  • Natural Language Processing
  • Computer Vision
  • Generative Artificial Intelligence (AI)
  • Machine Learning Operations (ML Ops)
  • Docker
  • Kubernetes
  • Continuous Integration
  • Continuous Delivery
  • Big Data
  • Apache Spark
  • Apache Hadoop
  • Artificial Intelligence
  • Problem Solving
  • Conflict Resolution
  • Analytical Skill
  • Communication
  • Collaboration
  • Agile
  • Attention To Detail

Summary

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
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 91125802
  • Position Id: 92f073ebeaca4f11946eece41c012d8
  • Posted 1 day ago
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