About this role

Develop and optimize ML models, ensuring scalability, monitoring, and integration with MLOps best practices.
Implement client requirements, from exploratory data analysis (EDA) to feature engineering and model lifecycle management.
Build ML Proof of Concepts (POCs) to validate and refine solutions.
Optimize models for performance, latency, memory, and throughput.
Apply statistical analysis techniques and develop regression models.
Design and maintain feature stores and data pipelines for ML workflows.
Research and implement emerging ML/AI techniques to enhance solutions.
Collaborate with stakeholders to align technical solutions with business needs.

Experience implementing ML-based systems, including model lifecycle management, monitoring, and MLOps pipeline setup.
Strong proficiency in Python (Pandas, Numpy, Jupyter, Scikit-Learn, XGBoost, Plotly).
Knowledge of SQL
Experience with cloud platforms (AWS, GCP, Azure).

Machine Learning Engineer

Key skills