Machine Learning Engineer - Databricks ML

ON Data Staffing is currently seeking a talented Machine Learning Engineer with expertise in Databricks ML to join our client's remote team in the United States.As a key member of our client's Data Science and Machine Learning team, the Databricks ML Engineer will play a crucial role in developing and implementing state-of-the-art machine learning models and algorithms to solve complex business problems. This is an exciting opportunity to work with cutting-edge technologies and make a significant impact in a fast-paced, collaborative environment.Responsibilities:Collaborate with cross-functional teams to understand business requirements and design scalable machine learning solutions.Develop and deploy machine learning models using Databricks ML and other relevant technologies.Conduct thorough analysis of large-scale datasets to extract meaningful insights and drive decision-making.Optimize and fine-tune machine learning models for performance and accuracy.Stay current with the latest advancements in machine learning and data science to continuously improve our capabilities.Requirements:Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or related field.Proven experience as a Machine Learning Engineer or Data Scientist, with a focus on building and deploying machine learning models.Strong proficiency in Databricks ML and other relevant tools such as TensorFlow, PyTorch, or scikit-learn.Solid understanding of machine learning algorithms, statistical modeling, and data preprocessing techniques.Experience working with big data technologies such as Apache Spark is a plus.Excellent communication and collaboration skills, with the ability to work effectively in a remote team environment.Seniority levelMid-Senior levelEmployment typeFull-timeJob functionConsulting, Information Technology, and AnalystIndustriesBusiness Consulting and Services, IT Services and IT Consulting, and Data Infrastructure and Analytics #J-18808-Ljbffr