• This role focuses on turning models into reliable systems and collaborating with engineering teams to operationalize ML
• 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

• 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)
• PyTorch or TensorFlow
• Experience with ML pipelines, Airflow, or workflow orchestration

Exposure to CI/CD, Docker, and cloud services