Futran Tech Solutions Pvt. Ltd.
Lead Data Scientist
Futran Tech Solutions Pvt. Ltd., Minneapolis, Minnesota, United States, 55400
Contract
Role : Lead Data Science with ML/Ops (DevOps)
Location : Minneapolis , MN ( Initial Remote / Hybrid )
Mandatory Skills :Design, build and maintain end-to-end (Data/Dev/ML) CI/CD pipelineDevOps tools such as Ansible, Docker, Kubernetes, Jenkins etc.MLOps tools such as ModelDB, MLFlow and Kubeflow.AzureJob Description
:
Responsibilities:
Build, test and maintain the infrastructure and tools to facilitate the consistent and automated AI software solution development and release process.Design, build and maintain end-to-end (Data/Dev/ML) CI/CD pipeline that automates data collection, data analysis, experimentation, model training, model serving and monitoring in production. Achieve continuous delivery of AI software solution and updates to production at scale.Develop end-to-end (Data/Dev/ML) Ops pipelines based on in-depth understanding of cloud platforms, AI lifecycle, and business problems to ensure analytics solutions are delivered efficiently, predictably, and sustainably.Collaborate with other data scientists, engineers, product teams and other key stakeholders.Identify, design, and implement internal process improvements, automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalabilityRequirements :
Minimum +9 years in DevOps, Data Engineering and ML background. Familiar with best practices in the data engineering and MLOps community.Experience building and maintaining CI/CD pipelines. Demonstrated experience on a broad range of DevOps tools such as Ansible, Docker, Kubernetes, Jenkins etc.Experience building, deploying and maintaining ML models in production.Experience with MLOps tools such as ModelDB, MLFlow and Kubeflow.Familiarity with python tools for data science.Experience with cloud infrastructure. Experience with Microsoft Azure Platform is a plus.Excellent communication and teamwork skills.Ability to collaborate effectively with internal business stakeholders, outside partners and technology teams.Mandatory Skills
Design, build and maintain end-to-end (Data/Dev/ML) CI/CD pipelineDevOps tools such as Ansible, Docker, Kubernetes, Jenkins etc.MLOps tools such as ModelDB, MLFlow and Kubeflow.Azure
Role : Lead Data Science with ML/Ops (DevOps)
Location : Minneapolis , MN ( Initial Remote / Hybrid )
Mandatory Skills :Design, build and maintain end-to-end (Data/Dev/ML) CI/CD pipelineDevOps tools such as Ansible, Docker, Kubernetes, Jenkins etc.MLOps tools such as ModelDB, MLFlow and Kubeflow.AzureJob Description
:
Responsibilities:
Build, test and maintain the infrastructure and tools to facilitate the consistent and automated AI software solution development and release process.Design, build and maintain end-to-end (Data/Dev/ML) CI/CD pipeline that automates data collection, data analysis, experimentation, model training, model serving and monitoring in production. Achieve continuous delivery of AI software solution and updates to production at scale.Develop end-to-end (Data/Dev/ML) Ops pipelines based on in-depth understanding of cloud platforms, AI lifecycle, and business problems to ensure analytics solutions are delivered efficiently, predictably, and sustainably.Collaborate with other data scientists, engineers, product teams and other key stakeholders.Identify, design, and implement internal process improvements, automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalabilityRequirements :
Minimum +9 years in DevOps, Data Engineering and ML background. Familiar with best practices in the data engineering and MLOps community.Experience building and maintaining CI/CD pipelines. Demonstrated experience on a broad range of DevOps tools such as Ansible, Docker, Kubernetes, Jenkins etc.Experience building, deploying and maintaining ML models in production.Experience with MLOps tools such as ModelDB, MLFlow and Kubeflow.Familiarity with python tools for data science.Experience with cloud infrastructure. Experience with Microsoft Azure Platform is a plus.Excellent communication and teamwork skills.Ability to collaborate effectively with internal business stakeholders, outside partners and technology teams.Mandatory Skills
Design, build and maintain end-to-end (Data/Dev/ML) CI/CD pipelineDevOps tools such as Ansible, Docker, Kubernetes, Jenkins etc.MLOps tools such as ModelDB, MLFlow and Kubeflow.Azure