ML Ops Engineer (Machine Learning)
- Perex Engineering
- 3 to 8 Yrs
- All India
- 4 years ago
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Job Description
Role : ML Ops Engineer(Data Science)
Job Type : Permanent/Full time
Key Skills : ML Ops, Devops, Machine Learning, Data Science
Experience level : 3 Yrs - 10 Yrs
Notice period : Immediate to 30 days
Location : Chennai/Bangalore/Pune/Hyderabad
Job Description:
- Minimum 3yearsexperienceinindustrializationof Data Science projects (MLOps) on AWS is a must.
- Need to be proficient in Sagemaker libraries/SDK for ML-OPS industrializationin addition toproficiency inCodePipelines, Lambda, Step Functions,EventBridgeetc.
- Should haveathorough understanding and appreciation of AI/ML lifecycle & its challenges. Hence an appreciation ofautomatedMLOpspipelines to support experimentation, continuous integration,continuousdeliveryandcontinuoustraining.
- Experience in creating complex workflows with features like
- Auto scaling and parallelism.
- Automated startup/shutdown resources,when idle.
- Must include a housekeeping part, to clean up any runtime residues.
- Build and implement software tool-chain, processes, and templates for Data Science and ML team for development and deployment environments.
- Experience in logging and monitoring ML models in production.
- Experience in tracking ML lineage withSagemakermodel registry.
- Creating an audit trail of model components such as training data, platformconfigurations,modelparameters.
- Experience in creating Dockerimages fortraining andinference models.
- Experience with scripting and coding using Python, Shell.
- Expertise in below technologies:
- AWS- EC2
- AWSSagemakerpipeline
- AWSCodePipeline, AWSCodeCommit, AWSCodeBuild, AWSCodeDeploy
- StepFunctions
- Docker
- CloudFormation
- Sagemakermodel registry
- Docker
- ECR
- Sagemakermodel monitor
- Cloudwatchand cloud trail
- SNS Notification
- Airflow, Jenkins andGitlab
Roles & Responsibilities:
- Develop and deliver aMLOps(CI/CD)pipelinein AWS cloudandSagemakerpipelinefor ML projects.
- Automate and streamline ML operations and processes.
- Interacting with Data engineering teamand ML engineering team to streamline the ML ops process.
- Produce build and deployment automation scripts to integrate between services.
- Manage the infrastructure and pipelines needed to bringlatestmodels and code intotheproduction.
- Software deployment and configuration management in both DEV, testing and Production environments.
- Execute bestpractices in version control and continuous integration / delivery.
- Build and maintain tools for deployment, monitoring, and operations. Also troubleshoot and resolve issues in development, testing, and production environments
- Day-to-day monitoring of the Production service delivery environment to ensure all services and applications are operating optimally and SLAs are met.
- Keep up with emerging best practices in ML-Ops and drive adoption as necessary.
- Work collaboratively with Data Scientists and Data engineers to deploy and operate systems.
Employement Category:
Employement Type: Full timeIndustry: IT - SoftwareRole Category: Application Programming / MaintenanceFunctional Area: Not ApplicableRole/Responsibilies: ML Ops Engineer (Machine Learning)Contact Details:
Company: Perex EngineeringLocation(s): All India+ View Contact
Fraud Alert to job seekers!
₹ 16 - 28 Lakh/Yr
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Perex Engineering
Perex Engineering Pvt Ltd is one of the best Recruitment and Staffing Company in IT Industry. We are successfully tied up with Multiple MNCs serving them with highly talented and Skilled candidates for their Requirements all over India.We provide full time permanent jobs with high end profiles and...
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