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 level Mid-Senior level Employment type Full-time Job function Consulting, Information Technology, and Analyst Industries Business Consulting and Services, IT Services and IT Consulting, and Data Infrastructure and Analytics #J-18808-Ljbffr