Machine Learning Engineer

We are seeking a Machine Learning Engineer to design, train, and deploy predictive ML models into production API environments. Tech stack: Python, PyTorch, scikit-learn, SQL, Docker, FastAPI, MLflow, Pandas What you will work on: - Develop, evaluate, and fine-tune machine learning models for classification, forecasting, and ranking tasks. - Build clean feature processing pipelines and handle data extraction using SQL and Python. - Wrap machine learning models in high-performance REST APIs (FastAPI) and deploy them using Docker containers. - Monitor model performance metrics, experiment results, and data drift using MLOps utilities. What we are looking for: - Hands-on experience developing and deploying machine learning models into production systems. - Strong proficiency in Python, PyTorch, scikit-learn, SQL, and data pre-processing tools. - Good software development habits, including clean code, unit testing, and version control.