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