Junior Machine Learning Engineer

Emonics LLC; Philadelphia (Philadelphia County); On-site; USD 70,000 - 90,000; Full time

Job summary

Emonics LLC in Philadelphia is seeking a junior ML Engineer to help develop, train, and optimize machine learning models. You will prepare data, analyze datasets, and collaborate with engineers and product teams to bring models into production.

The role emphasizes learning on the job with 0–2 years of experience, strong Python skills, and a solid understanding of ML concepts; SQL knowledge is a plus.

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.

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

ML concepts

SQL

Education

Bachelor's or Master's degree in CS/DS/AI/Math/Statistics

Job description

• 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.