AI Engineer job in Cleveland

FLEXJET, LLC
Cleveland, OH, United States
18 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours

Tech stack

Java (Programming Language) Application Programming Interfaces (APIs) Artificial Intelligence Amazon Web Services Computer Vision Microsoft Azure Big Data C++ (Programming Language) Cloud Computing Computer Programming Continuous Integration Data Validation
+24 more
Data Transformation Data Structures Apache Hadoop Python (Programming Language) Machine Learning NumPy Tensorflow Software Engineering SQL Databases Data Processing Google Cloud Feature Engineering Pytorch Apache Spark Model Validation Generative AI Pandas Scikit Learn Kubernetes Information Technology Machine Learning Operations Restful APIs Docker Microservices

Job description

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., 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

Requirements

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

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