| : MACHINE LEARNING OPERATING Engineer at Remote, Remote, USA |
| Email: [email protected] |
| From: Shubham Singh, Tek Inspirations LLC [email protected] Reply to: [email protected] Hello, I'm Shubham from TEK Inspirations We have a requirement for you and the details are as follows Please review the Job specifications below and let me know if interested. Please confirm this email that you received it also send me your DL, Visa , 4 digit SSN, education details and LinkedIn profile as well. TITLE:: MACHINE LEARNING OPERATING Engineer MOI:SKYPE LOCATION: Remote working EST (Johnston, Rhode Island) MUST HAVE : Azure ML Developing MLOps pipelines Responsibilities: Participate in full lifecycle software development for Computer Vision (CV) Models, specifically their deployment and management in development, pre-production, and production environments Advise on performance improvement and maturation strategies for models based on feature performance, in-situ model performance and stakeholder feedback Manage deployment of ML models to production and assist in monitoring live site issues Develop and iterate on release pipeline for ML models to drive incremental improvements Collaborate with technology teams across FM Global in the development of new AI/ML capabilities and establish a best-in-class processes for model management and deployment Provide guidance across CV team from CV Data Scientists, Data Engineers, and DevOps to support sustainable deployment of ML capabilities across AI/ML teams Skills/Knowledge: Experience with cloud platforms (AWS, Azure, GCP), especially with AI/ML solutions Understanding of software engineering, including performance tuning, algorithm design, and architecture Experience with large batch processes operations Excellent debugging knowledge of requisite tools Supported full-stack systems design, observability, and live site management Experience with automated testing of machine learning artifacts Experience deploying projects and platforms through CI/CD, Git, and automation Experience with scaling production models using containerization Experience establishing system health monitoring and observability solutions Bachelor's degree in Computer Science, Engineering, Information Technology, or related field is preferred 6 years of experience AdditionalPreferred Skills: Experience working with Agile methodologies and frameworks Experience working in Azure cloud and using Azure Machine Learning toolset As anMLOps Engineer you bring: Strong problem-solving skills Commitment to delivery Excellent communication skills and a desire to collaborate openly within a fast-moving team A deep desire to learn and apply technology in a pragmatic way to create client value Experience building machine learning models with a consistent methodology for determining performance, ongoing continuous improvement and tracking model output results Regards!! Shubham Singh Technical Recruiter| IT Healthcare & Informatics || Email: [email protected] Keywords: continuous integration continuous deployment artificial intelligence machine learning information technology |
| [email protected] View all |
| Sat Feb 11 01:33:00 UTC 2023 |