Junior ML Engineer: Build & Deploy Smart Models

Emonics LLC; Portland (OR); On-site; USD 90,000 - 130,000; Full time

Job summary

Emonics LLC is seeking a machine learning-focused candidate to develop, train and optimize models, and to prepare and analyze datasets for diverse ML applications.

You will implement algorithms in Python, assist deployment, monitor performance, and work with software engineers, data scientists, and product teams to enhance accuracy and scalability.

Candidates with 0–2 years of related experience and strong SQL skills are encouraged to apply.

Qualifications

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

Machine learning concepts

SQL basics

Data analysis

Education

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

Tools

Python

Job description

Emonics LLC is seeking a machine learning-focused candidate to develop, train and optimize models, and to prepare and analyze datasets for diverse ML applications.

You will implement algorithms in Python, assist deployment, monitor performance, and work with software engineers, data scientists, and product teams to enhance accuracy and scalability.

Candidates with 0–2 years of related experience and strong SQL skills are encouraged to apply.