Mlops 6 to 12 Years Pan India - Mumbai, Maharashtra, India - Capgemini

Capgemini
Capgemini
Verified Company
Mumbai, Maharashtra, India

1 week ago

Deepika Kaur

Posted by:

Deepika Kaur

beBee Recuiter
Description

Job Description:


  • Strategise plan and deliver MLOps initiatives by liasing with key business stakeholders
  • Design develop and deploy complex AI ML solutions on cloud infrastructure using ML engineering
  • MLOps workflows tools that can scale in response to changing business and technical requirements
  • Proficient in Model Deployment
  • Flask/Exposure to Docker/Kubernetes
  • Experience working with opensource technologies like Seldon, MLFlow, Feast, K Native, Apache Kafka, etc.
Experience with CI/CD tools like Jenkins or Github Actions
Primary Skills:


  • Model Deployment
  • Flask/Docker/Kubernetes, Azure ML, Python, CI/CD knowledge, Shell scripting
  • Experience working with opensource technologies like Seldon, MLFlow, Feast, K Native, Apache Kafka, etc.
  • Experience with CI/CD tools
  • MLOps practices, developing ML Pipelines, and deploying ML Models
  • Experience with modern DevOps practices

Secondary Skills:


  • Knowledge and understanding on Open AI will be a bonus
  • Strong Communication skills & should be flexible to work and explore different tech stack
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