Machine Learning Engineer - Entry Level

Emonics LLC; Jacksonville (FL); On-site; USD 65,000 - 90,000; Full time

Job summary

Emonics LLC in Jacksonville, FL, seeks a motivated Machine Learning Engineer at an entry level to contribute to building, training, and deploying ML models. This is an excellent opportunity for recent graduates or early-career professionals who are passionate about AI, machine learning, and solving real-world problems with data.

You will prepare datasets, implement algorithms in Python, monitor performance, and collaborate with software engineers and product teams to deliver scalable AI

Qualifications

• Bachelor's or Master's degree in Computer Science, Data Science, AI, Math, Statistics, or related field.
• 0–2 years of experience in machine learning, data science, software engineering, or related area.
• Strong programming skills in Python.
• Familiarity with ML concepts such as supervised/unsupervised learning, classification, regression, clustering, and model evaluation.
• Understanding of SQL and basic data manipulation.

Responsibilities

• Develop, train, evaluate, and optimize machine learning models.
• Prepare, clean, and analyze datasets for ML applications.
• Implement machine learning algorithms using Python and relevant ML frameworks.
• Assist in deploying models into production environments.
• Monitor model performance and help improve accuracy, reliability, and scalability.
• Build data preprocessing and feature engineering pipelines.
• Collaborate with software engineers, data scientists, and product teams.
• Conduct experiments and analyze results to identify opportunities for improvement.

Skills

Python

Machine learning concepts

Data analysis

Software engineering basics

Education

Bachelor's or Master's degree in Computer Science, Data Science, Artificial Intelligence, Mathematics, Statistics, or a related field

Tools

SQL

Job description

We are looking for a motivated Machine Learning Engineer- Entry Level to join our team and contribute to the development, deployment, and improvement of machine learning solutions. This is an excellent opportunity for recent graduates or early-career professionals who are passionate about AI, machine learning, and solving real-world problems with data.

Key Responsibilities

• Develop, train, evaluate, and optimize machine learning models.
• Prepare, clean, and analyze datasets for ML applications.
• Implement machine learning algorithms using Python and relevant ML frameworks.
• Assist in deploying models into production environments.
• Monitor model performance and help improve accuracy, reliability, and scalability.
• Build data preprocessing and feature engineering pipelines.
• Collaborate with software engineers, data scientists, and product teams.
• Conduct experiments and analyze results to identify opportunities for improvement.

Required Qualifications

• Bachelor's or Master's degree in Computer Science, Data Science, Artificial Intelligence, Mathematics, Statistics, or a related field.
• 0–2 years of experience in machine learning, data science, software engineering, or a related area.
• Strong programming skills in Python.
• Familiarity with machine learning concepts such as supervised and unsupervised learning, classification, regression, clustering, and model evaluation.
• Understanding of SQL and basic data manipulation.