Machine Learning Engineer

Job Details Job Title: Machine Learning Engineer Location: Cincinnati, OH Duration: 6 months Experience Required: 8-10 years Role Overview Machine Learning Engineer with strong experience in: Snowpark ML Databricks MLflow Experience designing, developing, deploying, and optimizing machine learning and AI solutions. Ability to solve complex business challenges using machine learning and AI technologies. Strong programming and data skills in: Python SQL Experience with machine learning frameworks: TensorFlow PyTorch Scikit-learn Experience working with cloud platforms: Azure AWS GCP Key Skills Machine Learning Snowpark ML Databricks MLflow Python SQL TensorFlow PyTorch Scikit-learn Azure AWS GCP Roles & Responsibilities Design and develop machine learning and AI solutions. Build end-to-end machine learning pipelines. Perform feature engineering and data preparation. Train and optimize machine learning models. Deploy models into production environments. Monitor model performance and improve model accuracy and efficiency. Develop scalable and production-ready ML solutions. Optimize machine learning applications for performance and reliability. Collaborate with cross-functional teams to understand business requirements. Deliver data-driven solutions that generate business value. Support data-driven decision-making through AI and machine learning. Role / Skills Role: ML Engineer Essential Skill: Machine Learning Engineer Experience: 8-10 years Primary Skill: Digital - Machine Learning Specialized Technologies: Snowpark ML Databricks MLflow Cloud: Azure / AWS / GCP Talent Software Services