| Immediate Hiring for Azure Machine Learning (ML) at PLEASANTON, CA at Pleasanton, Texas, USA |
| Email: [email protected] |
| From: Naresh Dokur, Siriinfo [email protected] Reply to: [email protected] Dear Candidate, I hope youre doing great!! Role: Azure Machine Learning (ML) Location: PLEASANTON, CA Duration:12+Months Job description: Experience in Machine Learning solution and Machine Learning Operations Sound knowledge of ModelOps and MLOPsTechnical expert on Model Operations tool ModelOp Center provided by ModelOP Experience managing product, based on AI Model Operation and governance, ModelOp tools Understanding of Model Life Cycle, Data analytics and representation Understanding of NLP techniques for text representation, semantic extraction techniques, data structures and modelling Technical expert on Microsoft Azure platform, ML and AI Tools Experience with machine learning frameworks (like Keras or PyTorch) and libraries (like scikit-learn) Experience with implementing multiple AI solution in different domains in a large enterprise Python Programming experience using Jupyter Experience working with Kubernetes, MongoDB, Postgres, NO SQL Databases Experience in infrastructure planning for AI and ML Applications Server, Database, Data Stores, Memory, CPU, Firewall etc Experience implementing and architecting Azure AI tool, Integration with ServiceNow and other ITAM Good Knowledge in developing Azure AI solutions in inventory management. Design and analysis Azure AI solutions Expert in data analysis, process understanding, creating and mapping design documents Solutioning in Ping Federate/LDAP authorization On Premise and Cloud based solutioning Good to have experience working with ModelOp AI tool Sound knowledge of Agile methodology, JIRA, Product Management Expertise in Tableau reporting, Data analytics and dashboards 5+Development AI ML development Communication - Strong and effective communication skills Implement, enhance and integrate AI platform with ServiceNow, ITAM applications, GitHub and JIRA Gather and analyze the requirements provided by client Collect, consolidate and analyze service metrics to facilitate decision making related to service improvements. Conduct unit testing and install new modules, releases and version upgrades Discuss with Data Scientists and participate in AI Model governance process Actively manages the life cycle of the AI platform, AI Model operations Proactively develop and maintain technical knowledge in a specialized area, remaining up-to-date on current trends and best practices. Create and maintain technical documentation regarding development processes, best practice guidelines and other related artifacts (e.g. templates, etc.) Complete development, configuration and workflow administration to support business processes on the platform. Thanks & Regards, Naresh Kumar | Senior IT Recruiter E-mail: [email protected] Keywords: artificial intelligence machine learning information technology California Immediate Hiring for Azure Machine Learning (ML) at PLEASANTON, CA [email protected] |
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| Mon Mar 25 19:57:00 UTC 2024 |