Data Science Engineer at Artek Solutions, INC

Design, develop, and maintain data pipelines and infrastructure using Apache Airflow, Python, and cloud platforms (AWS, Azure, or Google Cloud). Implement and optimize ML models with TensorFlow, PyTorch, Scikit-Learn; utilize feature engineering, hyperparameter tuning, and model validation. Perform data cleaning, preprocessing, and exploratory data analysis using Python (Pandas, NumPy). Deploy ML models into production environments using Docker and Kubernetes, ensuring scalability, reliability, and performance monitoring. Collaborate with cross-functional teams to integrate AI/ML solutions into products via APIs and frameworks like Flask or FastAPI. Stay current with AI/ML advancements and continuously improve skills with tools such as Jupyter Notebooks, GitHub, and CI/CD pipelines.