Agility Partners LLC
Solution Architect Company Hidden Pittsburgh, PA Architect 1 Opening Posted toda
Agility Partners LLC, Pittsburgh, Pennsylvania, us, 15289
Agility Partners is in search of a Lead Solution Architect to act as a member of a delivery team, supporting both new development/project-based efforts, and production support; and is considered the highest level domain technology expert for a large banking client of ours.Responsibilities
Be able to design, implement, and operate a framework for Machine Learning Operations (MLOps) on cloud (AWS)Build MLOps pipelines orchestration on Amazon SageMakerData science model review, run the code refactoring and optimization, containerization, deployment, versioning, and monitoring of its qualityDesign, develop, integrate, and deploy tools for Data Science and ML Research, such as Model Monitoring, Model Governance, Model Deployment, Data Management, Feature Engineering, among others.Data science models testing, validation and tests automationCommunicate with a team of data scientists, data engineers and architect, document the processesContinuously challenge and evolve the existing platform capabilities and keep up to date with new offerings.Benefits and Perks
This is a great opportunity to work for a coast-to-coast financial services firm, with tremendous opportunity to grow, develop and move internally to pursue your passions. An organization that develops tools and technologies that incorporate some of the most modern and cutting-edge approaches, working collaboratively and continuously developing as experts in their respective fields.Amazing opportunity for growth, healthy work/life balance and a community focused environmentWorking for an organization that focuses on company culture, inclusion and diversity50% medical coverage for you and your entire family, short/long term disability and life insurance options401(k)Life InsuranceDisability coverageThe Ideal Candidate
5+ years of experience in automating infrastructure setup and application deploymentAt least 5+ years of setting up and using AWS components, especially SageMaker, Athena, EMR, Glue, EC2, Lambda, ECR, ELB, Direct Connect, Route53Strong background in Linux/Unix AdministrationExperience building automated CI/CD pipelines with JenkinsExperience with python, aws cli, Terraform, YAML, JSONExperience with containers and orchestration utilizing Docker, k8s, OpenShift, ECS, EKSCurious and thorough understanding of pros and cons of components being usedStrong troubleshooting and critical thinking skills
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Be able to design, implement, and operate a framework for Machine Learning Operations (MLOps) on cloud (AWS)Build MLOps pipelines orchestration on Amazon SageMakerData science model review, run the code refactoring and optimization, containerization, deployment, versioning, and monitoring of its qualityDesign, develop, integrate, and deploy tools for Data Science and ML Research, such as Model Monitoring, Model Governance, Model Deployment, Data Management, Feature Engineering, among others.Data science models testing, validation and tests automationCommunicate with a team of data scientists, data engineers and architect, document the processesContinuously challenge and evolve the existing platform capabilities and keep up to date with new offerings.Benefits and Perks
This is a great opportunity to work for a coast-to-coast financial services firm, with tremendous opportunity to grow, develop and move internally to pursue your passions. An organization that develops tools and technologies that incorporate some of the most modern and cutting-edge approaches, working collaboratively and continuously developing as experts in their respective fields.Amazing opportunity for growth, healthy work/life balance and a community focused environmentWorking for an organization that focuses on company culture, inclusion and diversity50% medical coverage for you and your entire family, short/long term disability and life insurance options401(k)Life InsuranceDisability coverageThe Ideal Candidate
5+ years of experience in automating infrastructure setup and application deploymentAt least 5+ years of setting up and using AWS components, especially SageMaker, Athena, EMR, Glue, EC2, Lambda, ECR, ELB, Direct Connect, Route53Strong background in Linux/Unix AdministrationExperience building automated CI/CD pipelines with JenkinsExperience with python, aws cli, Terraform, YAML, JSONExperience with containers and orchestration utilizing Docker, k8s, OpenShift, ECS, EKSCurious and thorough understanding of pros and cons of components being usedStrong troubleshooting and critical thinking skills
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