Machine Learning Engineer

Disclaimer: Samsung has a strict policy on trade secrets. In applying to Samsung and progressing through the recruitment process, you must not disclose any trade secrets of your current or previous employer We are looking for a Machine Learning Engineer to contribute to the development of a Machine Learning Operations (MLOps) project. This may include but is not limited to: Data Processing, Dataset Management, Model Training, Experiment Tracking, Verification. The project is expected to handle highly unstructured data that requires multiple steps of preprocessing before it is processed by the system into a trained model.
Responsibilities: Requirement Analysis, Identification of timelines and deliverables Technical Documentation and Reporting Technical decision-making along with the team specialists People management and performance evaluation for members Verification of task completion and release management Research new approach, solutions, and architecture that can contribute to the project's improvement and evolution Qualifications: Experience in working in or leading a data engineering project using python-based tools Python and Popular Libraries (Pandas, Numpy, Multiprocessing etc.) Data Visualization Tools (Dash, Seaborne, Web frameworks) Database Tools (MongoDB, MySql, etc.) Hands-on experience working in data warehousing, data architecture and/or data engineering environments at an enterprise scale. ETL design, implementation and maintenance Experience implementing and working with workflow schedulers like Airflow, Azkaban, Oozie etc.