Lead Data Scientist & Machine Learning Engineer - Databricks ML & Gen AI

ON Data Staffing is currently seeking a talented Lead Data Scientist with expertise in Databricks and GenAI to join our client's remote team in the United States. 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.

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
• Excellent communication and collaboration skills, with the ability to work effectively in a remote team environment
• Experience working with big data technologies such as Apache Spark is a plus