L1 – Junior Machine Learner
Core
Build practical machine learning solutions for real business and operational problems across the full ML lifecycle.
Role type
Junior Machine Learning Engineer
Builds
Production ML models and operational intelligence
Domain
AI & Intelligence, Business Operations
Deliverable
production ML models
Required skills
Python, Data preprocessing, Feature engineering, Model evaluation, REST API integration, Cloud services (AWS), Database management (MongoDB), ML libraries (Pandas, NumPy, Scikit-Learn)
Preferred skills
PyTorch, TensorFlow, Git, GitHub/Kaggle portfolio
Technologies
Python, Git, Pandas, NumPy, Scikit-Learn, Matplotlib, Seaborn, FastAPI, AWS, MongoDB, PyTorch, TensorFlow
Responsibilities
Collect, clean, and prepare data for ML projects; Perform basic data analysis and identify patterns; Build and evaluate machine learning models; Perform feature engineering and model testing; Document model results, assumptions, and limitations; Support API-based deployment and model monitoring; Work with senior team members to improve model performance
Seniority
Junior, hands-on IC