| Machine learning engineer hybrid in Chicago, IL at Chicago, Illinois, USA |
| Email: [email protected] |
| From: Sumit katiyar, Technocraft solution [email protected] Reply to: [email protected] Hello, Hope you are doing good My name is Sumit Katiyar and I am a Recruiting Manager at Technocraft solution LLC. I am reaching out to you for an exciting job opportunity with one of our clients. Role: Machine Learning Engineer Location of work :Chicago, IL, hybrid, 2 days onsite Duration: 6-12+ months Any visa is fine except H1B Description: Technical knowledge- has expertise in cloud technologies, specifically MS Azure, and services with hands on coding to Python Programming - Expert and Experienced - 4 -5 years DevOps Working knowledge with implementation experience - 1 or 2 projects a minimum Hands-On MS Azure Cloud knowledge Understand and take requirements on Operationalization of ML Models from Data Scientist Help team with ML Pipelines from creation to execution List Azure services required for deployment, Azure Data bricks and Azure DevOps Setup Assist team to coding standards (flake8 etc) Guide team to debug on issues with pipeline failures Engage with Business / Stakeholders with status update on progress of development and issue fix Automation, Technology and Process Improvement for the deployed projects Setup Standards related to Coding, Pipelines and Documentation Adhere to KPI / SLA for Pipeline Run, Execution Research on new topics, services and enhancements in Cloud Technologies Responsible for successful delivery of MLOps solutions and services in client consulting environments; Define key business problems to be solved; formulate high level solution approaches and identify data to solve those problems, develop, analyze/draw conclusions and present to client. Assist clients with operationalization metrics to track performance of ML Models Agile trained to manage team effort and track through JIRA High Impact Communication- Assesses the target audience need, prepares and practices a logical flow, answers audience questions appropriately and sticks to timeline. Education and Experience: Masters degree in Computer Science Engineering, with Relevant experience in the field of MLOps / Cloud Domain experience in Retail, CPG and Logistics etc. Exposure to US/ overseas markets is preferred Azure Certified DP100, AZ/AI900 Domain / Technical / Tools Knowledge: Object oriented programming, coding standards, architecture & design patterns, Config management, Package Management, Logging, documentation Experience in Test Driven Development and experience in using Pytest frameworks, git version control, Rest APIs Azure ML best practices in environment management, run time configurations (Azure ML & Databricks clusters), alerts. Experience designing and implementing ML Systems & pipelines, MLOps practices Exposure to event driven orchestration, Online Model deployment Contribute towards establishing best practices in MLOps Systems development Proficiency with data analysis tools (e.g., SQL, R & Python) High level understanding of database concepts/reporting & Data Science concepts Hands on experience in working with client IT/Business teams in gathering business requirement and converting into requirement for development team Experience in managing client relationship and developing business cases for opportunities Azure AZ-900 Certification with Azure Architecture understanding is a plus We are looking proactive and customer focused individual who has a great affinity towards various Retail, CPG, Logistics process innovations. The candidate will also play a significant role in refining our MLOps services for the Retail, CPG, Logistics Sector. The candidates should have prior relevant work experience, excel in ambiguous situations, and possess a passion for helping companies become more Regards Sumit Katiyar Recruiting Manager Technocraft Solutions LLC. Cell / whatsapp number : 614-412-6658 Keywords: machine learning access management rlang information technology microsoft Arizona Illinois Machine learning engineer hybrid in Chicago, IL [email protected] |
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| Tue Apr 09 22:40:00 UTC 2024 |