Junior Machine Learning Engineer

Emonics LLC; Indiana; On-site; USD 65,000 - 95,000; Full time

Job summary

Emonics LLC is seeking a Junior Machine Learning Engineer to join our AI-focused team in Indiana. The position is ideal for recent graduates or early-career professionals who want to solve real-world problems with data.

You will develop end-to-end ML pipelines, from data prep to model deployment, and collaborate with software engineers and data scientists. Proficiency in Python and a solid grasp of ML concepts are essential.

Qualifications

• 0–2 years of ML experience or related field.
• Strong programming skills in Python.
• Familiarity with supervised/unsupervised learning, classification, regression, clustering, model evaluation.

Responsibilities

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

Skills

Python

ML concepts

Data preprocessing

Collaboration

Education

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

Tools

SQL

ML frameworks (TensorFlow/PyTorch)

Job description

We are looking for a motivated Junior Machine Learning Engineer 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.
• Collaborate with software engineers, data scientists, and product teams.
• 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.
• 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.