8 to 10 years of industry experience working in Software Engineering, DevOps or Data Engineering with Data Science and MLOps experience.
Strong DevOps, Data Engineering and Client background with Azure Experience
Experience in Distributed computing, Data pipelines, and AI/Client.
Review and influence the engineering design, architecture and technology stack across multiple products
Experience in Azure ML, Data Bricks, and Azure Kubernetes service.
Extensive experience with Unix/AIX/Linux environments
Experience with automation servers such as Jenkins, CloudBees, Travis, GitHub actions
Experience with logging tools such as Splunk, Kibana, Logstash
Familiarity with setting up model and experiment Versioning technologies like MLFLow/Kubeflow
Expertise in design, implement and troubleshoot machine learning models using Azure Machine Learning platform
Strong knowledge in Python and Kubernetes
Develop and maintain MLOps pipelines using Azure ML and DevOps
Experience with code scanning and application security.
Roles & Responsibilities
Ensure reliability and cost saving. Scale the proof of concept product to enterprise grade application with all the required components for reliability, scalability, monitoring and security.
Suggest and implement the best practices from Software engineering to ML workflow to ensure CI/CD, reproducibility and quick delivery cycle.
Lead and drive the deployment of ML models, life cycle management and monitoring of Machine Learning(ML) and Deep Learning (DL) models in in all stages leading to production
Be a subject matter expert on DevOps practices, CI/CD and Configuration Management with assigned engineering team
Automate and streamline ML operations and processes.
Keyskills: Azure Unix Azure Kubernetes code scanning CloudBees GitHub Azure MLOps Data Bricks Jenkins DevOps Linux application security Travis
ScaleneWorks People Solutions LLP is one of the empanelled recruiting agency for Bihar Vikas Mission.ScaleneWorks has also been awarded recruitment for 15 positions under phase VI