Position Overview
We are hiring a Machine Learning Engineer to help design, build, and deploy ML solutions. This role focuses on turning models into reliable systems and collaborating with engineering teams to operationalize ML.
Key Responsibilities
- Develop and train ML models with reproducible pipelines
- Build data preprocessing workflows and feature generation
- Deploy models to production and monitor performance
- Work with stakeholders to define success metrics and test outcomes
- Document experiments and contribute to best practices
Required Qualifications
- Degree in CS, Data Science, Engineering, or related field
- Strong Python, data handling (pandas), and ML fundamentals
- Familiarity with scikit-learn and basic model evaluation
- Understanding of software engineering basics (Git, testing, modular code)
Preferred Qualifications
- Experience with ML pipelines, Airflow, or workflow orchestration
- Exposure to CI/CD, Docker, and cloud services