Machine Learning Engineer

FLEXJET, LLC
Cleveland, OH, United States
about 1 month ago
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Role details

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

Tech stack

Cluster Analysis Data Structures Database Queries Python (Programming Language) Machine Learning Tensorflow Data Processing Pytorch Scikit Learn Information Technology Data Analytics Machine Learning Operations
+1 more
Data Pipelines

Job description

Experteer Overview As an Entry-Level Machine Learning Engineer at Flexjet, you will collaborate with experienced engineers and data scientists to build, deploy, and maintain ML models. You will work on real-world ML systems that support business decisions in aviation services. The role focuses on developing models, data pipelines, and production readiness under guidance, offering hands-on learning in a dynamic setting. You will join a team that values problem-solving, data-driven decisions, and collaboration to improve operations. This is a growth-focused opportunity to shape ML solutions for scalable outcomes in a fast-moving environment. Compensation / Benefits * Assist in developing and training machine learning models * Support the creation and maintenance of data pipelines * Help deploy ML models into production under guidance * Clean, preprocess, and analyze datasets for model training * Collaborate with team members to solve business problems using data * Monitor model performance and help troubleshoot issues * Document code, processes, and model behavior Tasks * Bachelor’s degree in Computer Science, Data Science, Engineering, or related field (or equivalent practical experience) * Basic proficiency in Python * Familiarity with machine learning concepts (regression, classification, clustering) * Experience with libraries such as scikit-learn, TensorFlow, or PyTorch (academic or project-based) * Understanding of data structures and algorithms fundamentals * Basic knowledge of SQL and data handling Key requirements *

Requirements

dynamic and help troubleshoot issues * Document code, processes, and model behavior Tasks * Bachelor’s degree in Computer Science, Data Science, Engineering, or related field (or equivalent practical experience) * Basic proficiency in Python * Familiarity with machine learning concepts (regression, classification, clustering) * Experience with libraries such as scikit-learn, TensorFlow, or PyTorch (academic or project-based) * Understanding of data structures and algorithms fundamentals * Basic knowledge of SQL and data handling Key requirements *

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