Entry-Level ML Engineer: Build & Deploy Real-World Models

Flexjet; United States; On-site; USD 65,000 - 100,000; Full time

Job summary

Flexjet is seeking a motivated Entry Level Machine Learning Engineer to join our team. In this role you will work alongside experienced engineers and data scientists to build, deploy and maintain machine learning models.

This is an excellent opportunity for someone early in their career who is eager to develop hands-on experience with real world ML systems. You will assist in developing models, work on data pipelines, and learn to deploy ML solutions in production under guidance as you grow your

Qualifications

• Bachelor's degree in CS, Data Science, Engineering, or related field or equivalent practical experience.
• Basic proficiency in Python.
• Familiarity with ML concepts (regression, classification, clustering).
• Experience with libraries such as scikit-learn, TensorFlow, or PyTorch.
• Understanding of data structures and algorithms fundamentals.
• Basic knowledge of SQL and data handling.

Responsibilities

• Assist in developing and training ML 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 troubleshoot issues.
• Document code processes and model behavior.

Skills

Python basics

ML concepts

Data structures

SQL basics

Teamwork

Communication

Education

Bachelor's degree in Computer Science

Bachelor's degree in Data Science

Bachelor's degree in Engineering

Tools

Git

AWS

Azure

Google Cloud

APIs

Matplotlib

Seaborn

scikit-learn

TensorFlow

PyTorch

Job description

Flexjet is seeking a motivated Entry Level Machine Learning Engineer to join our team. In this role you will work alongside experienced engineers and data scientists to build, deploy and maintain machine learning models.

This is an excellent opportunity for someone early in their career who is eager to develop hands-on experience with real world ML systems. You will assist in developing models, work on data pipelines, and learn to deploy ML solutions in production under guidance as you grow your