| Looking for MLOPS ENGINEER at Remote, Remote, USA |
| Email: [email protected] |
| From: Bharath, Vy systems [email protected] Reply to: [email protected] Hi, Looking for MLOps Engineer Job title: MLOps Engineer Location: Sunnyvale/CA or Austin/TX Top 5 Skills : Kubernetes ( Heavy ) + AWS + Python + DeVOps + ML Devops Preferred Certification on CKAD /CKA ( Anyone ) 6+ years of experience in ML Ops with strong knowledge in Kubernetes, Python and AWS Experience building end-to-end systems as a Platform Engineer, ML DevOps Engineer, or Data Engineer (or equivalent) Strong software engineering skills in complex, multi-language systems Fluency in Python Comfort with Linux administration Ability to understand tools used by data scientist and experience with software development and test automation Ability to design and implement cloud solutions and ability to build MLOps pipelines on cloud solutions (AWS, MS Azure or GCP) Experience working with cloud computing and database systems Experience building custom integrations between cloud-based systems using APIs Experience developing and maintaining ML systems built with open-source tools Experience with MLOps Frameworks like Kubeflow, MLFlow, DataRobot, Airflow etc., experience with Docker and Kubernetes Experience developing with containers and Kubernetes in cloud computing environments Familiarity with one or more data-oriented workflow orchestration frameworks (KubeFlow, Airflow, Argo, etc.) Ability to translate business needs to technical requirements Strong understanding of software testing, benchmarking, and continuous integration Exposure to machine learning methodology and best practices Fluent in English, good communication skills and ability to work in a team Responsibilities: Design and implement cloud solutions, build MLOps on cloud (AWS, Azure, or GCP) Build CI/CD pipelines orchestration by GitLab CI, GitHub Actions, Circle CI, Airflow or similar tools Data science model review, run the code refactoring and optimization, containerization, deployment, versioning, and monitoring of its quality Data science models testing, validation and tests automation Communicate with a team of data scientists, data engineers and architect, document the processes Develop and deploy scalable tools and services for our clients to handle machine learning training and inference Regards, BHARATH- VySystems Email ID:[email protected] Keywords: continuous integration continuous deployment machine learning rlang microsoft California Idaho Texas Looking for MLOPS ENGINEER [email protected] |
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| Thu Sep 12 23:48:00 UTC 2024 |