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AIML Engineer
Infosys
posted 1mon ago
Job Role Insights
Flexible timing
Key skills for the job
Job Description
- 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 ModelsAgile trained to manage team effort and track through JIRAHigh Impact Communication- Assesses the target audience need, prepares and practices a logical flow, answers audience questions appropriately and sticks to timeline
- Technical knowledge- has expertise in cloud technologies, specifically MS Azure, and services with hands on coding to -Python Programming - Expert and Experienced - 4 -5 yearsDevOps Working knowledge with implementation experience - 1 or 2 projects a minimumHands-On MS Azure Cloud knowledge
- Understand and take requirements on Operationalization of ML Models from Data ScientistHelp team with ML Pipelines from creation to executionList Azure services required for deployment, Azure Data bricks and Azure DevOps SetupAssist team to coding standards (flake8 etc)
- Guide team to debug on issues with pipeline failuresEngage with Business / Stakeholders with status update on progress of development and issue fixAutomation, Technology and Process Improvement for the deployed projectsSetup Standards related to Coding, Pipelines and DocumentationAdhere to KPI / SLA for Pipeline Run, ExecutionResearch on new topics, services and enhancements in Cloud Technologies Master s degree in Computer Science Engineering, with Relevant experience in the field of MLOps / CloudDomain experience in Capital Markets, Banking, Risk and Compliance etc
- Exposure to US/ overseas markets is preferredAzure Certified - DP100, AZ/AI900Domain / Technical / Tools Knowledge:Object oriented programming, coding standards, architecture design patterns, Config management, Package Management, Logging, documentationExperience in Test Driven Development and experience in using Pytest frameworks, git version control, Rest APIsAzure ML best practices in environment management, run time configurations (Azure ML Databricks clusters), alerts
- Experience designing and implementing ML Systems pipelines, MLOps practicesExposure to event driven orchestration, Online Model deploymentContribute towards establishing best practices in MLOps Systems developmentProficiency with data analysis tools (e
- g
- , SQL, R Python)High level understanding of database concepts/reporting Data Science conceptsHands on experience in working with client IT/Business teams in gathering business requirement and converting into requirement for development teamExperience in managing client relationship and developing business cases for opportunitiesAzure AZ-900 Certification with Azure Architecture understanding is a plus
Employment Type: Full Time, Permanent
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- Job security - Excellent
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Infosys Benefits
5 Days Working Flexible Working Hours Maternity, Paternity and Adoption Leave Transportation 
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