Applied Data Scientist – MLOps

Summary

The role of Applied Data Scientist – MLOps focuses on developing and deploying data science solutions while ensuring smooth operational functionality across business areas. The primary objective is to build scalable and stable MLOps pipelines for robust model deployment and monitoring, contributing to clients enhanced use of ML and AI.

Main Responsibilities

• Design and develop data science solutions using traditional ML and modern modeling techniques.
• Perform exploratory data analysis (EDA), feature engineering, and data preprocessing for model development.
• Construct, test, and validate supervised and unsupervised ML models, optimizing algorithms and hyperparameters for robustness.
• Lead deployment of ML/AI models into production using CI/CD and containerized workflows.
• Develop reproducible ML pipelines for various deployment processes such as training, testing, and serving.
• Deploy LLM-power...