VDart ยท 3 hours ago
MLOps Engineer
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Responsibilities
Develop and maintain scalable MLOps pipelines on Databricks.
Ensure seamless integration with Azure services.
Collaborate with data scientists to deploy and optimize ranking models in production environments.
Monitor and enhance model performance through A/B testing and versioning management.
Automate CI/CD processes for efficient machine learning workflows.
Leverage MLflow for experiment tracking, model registry, and deployment operations.
Design and optimize Elasticsearch configurations for data indexing and search ranking.
Qualification
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Required
Proven experience with Databricks and Azure services.
Proficiency in building and maintaining CI/CD pipelines for machine learning.
Strong expertise in search ranking optimization and Elasticsearch.
Expertise in Learning to rank (Search ranking models) in ElasticSearch.
Experience with MLflow for MLOps workflows.
Solid understanding of A/B testing and model versioning strategies.
Company
VDart
VDart specializes in providing IT staffing solutions.
H1B Sponsorship
VDart has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2023 (9)
2022 (12)
2021 (14)
2020 (15)
Funding
Current Stage
Late StageRecent News
Company data provided by crunchbase