Junior Machine Learning Engineer
Emonics LLC
Los Angeles, CA0–2 yrs55m agovia LinkedIn
- 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.
Requirements & Tech Stack
- Python
- ML frameworks
- SQL
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.