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
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