Data Ops Engineer (MLOps/NLP)

Position: Data Ops EngineerLocation: Irvine, CAType: ContractSeeking a Data Ops Engineer with 7 to 10 years of experience skilled in designing and development of data ingestion, extraction and pipelineJob DescriptionLead the design and development of scalable robust and efficient data processing and machine learning solutions using Python to architect end to end data pipelines leveraging PySpark for distributed data processing and NLP techniques for advanced text analytics.Implement MLOps best practices to automate model deployment monitoring and lifecycle management.Collaborate with crossfunctional teams to integrate NLP models and data pipelines into production environments.Stay abreast of emerging technologies and industry trends in Python PySpark NLP and MLOps to drive innovation.Ensure solutions are scalable secure and maintainable adhering to organizational standards Drive continuous improvement initiatives to optimize performance and operational efficiency.Technical SkillsPython, SQL, AWS Glue, ETL, Terraform, AWS Infra DevOps, XML/CSV/JSON