05 Mar
Software Engineer ML Ops
Vacancy expired!
Hi All,
Role: Software Engineer – ML OpsLocation: Sunnyvale, CA / Sacramento, CAType: ContractMust Have Skills: Docker/Kubernetes, Cloud (AWS, Google Cloud Platform), Data Engineering, DevOps, ML background, Python, ML Ops tools - ML Flow/Kubeflow, ML frameworks - TensorFlow/PyTorch/Keras, ML Testing Nice to have skills:CI/CD, Big Data Job Description:Build and maintain tools and infrastructure for data processing for AI/ML development initiatives.Develop ETL pipelines, tools and processing jobs for data cleansing, labeling and analysis.Experience deploying machine learning models into production environment.Strong DevOps, Data Engineering and ML background with Cloud platformsExperience in containerization and orchestration (such as Docker, Kubernetes)Experience building/operating systems for data extraction, ingestion and processing of large data setsExperience Machine learning frameworks/libraries (such as TensorFlow, PyTorch, Keras, scikit-learn)Experience with MLOps tools such as MLFlow and KubeflowExperience in Python scriptingHands on experience in SQL and should be able to write complex queries usingjoinsExperience with CI/CDOwning ML model performance measurement and determining ways to detect when models are less accurateVacancy expired!