Alpharetta, GA / New York, NY
6 months
Onsite Work
Description:
We are seeking a highly skilled Senior Machine Learning Engineer with expertise in Databricks to join our innovative team. The ideal candidate will be responsible for developing, fine-tuning, and managing machine learning models in a production environment while optimizing costs and performance on the Databricks platform.
Key Responsibilities:
Develop and implement end-to-end machine learning solutions using Databricks, leveraging its Unified Analytics Platform
Fine-tune and optimize machine learning models deployed in production environments
Set up and manage automation processes for model training, evaluation, and deployment on Databricks
Optimize Databricks cluster configurations and resource utilization to manage overall platform costs efficiently
Implement best practices for version control, testing, and documentation of ML models and pipelines
Monitor and analyze model performance, making data-driven decisions for continuous improvement
Stay current with the latest advancements in machine learning and Databricks technologies
Preferred Qualifications:
Experience with Delta Lake and Databricks workflows
Familiarity with distributed computing and big data processing
Knowledge of DevOps practices and CI/CD pipelines
Experience with cost optimization strategies for cloud-based ML platforms
Ashok
916-646-2080 EXT 222
