MLOps engineer

Job Description:

hello, 

Greetings from MM Management!!

I am Krishna from MM Management. MM Management is into Global Recruitment Services providing manpower across the Globe.

About company- Company is an adept and reliable technology solutions provider focusing on Enterprise Digital Transformation for Software and Service Innovations and Business Process Management applications. Since our inception in 2000, we have come a long way in serving hundreds of clients across industries and geographies Over the years.

location : Bangalore

Position: Consultant - MLOps. Engineer

Project works with leading Artificial Intelligence (AI) and Data Engineering
consulting and solutions. Project offers capabilities across the analytical value
chain from data engineering and cloud-based implementations to analytics,
machine learning, and business intelligence, to tackle day-to-day & strategic
business challenges across multiple verticals & business functions in Gaming,
Manufacturing, Hi-Tech & CPG industries.

JOB DESCRIPTION

Design and build applications using containerization and orchestration with
Docker and Kubernetes and cloud platforms.
Demonstrated experience with containerization, workflow orchestration.
Experience with ML model monitoring: model performance, data drift, model
health, etc.
Experience in building continuous training (CI), continuous deployment (CD) &
continuous training (CT) pipelines.
Helping refactor models and build service-oriented apps to deploy models;
experience in CI/CD to help automate and streamlining learning pipeline.
Experience: 5 to 7 years

Must have skills: Azure, Docker, Kubernets, CI/CD, Python, ML

If interested please fill the details below and revert back with your updated CV.

• 1. Total Experience
• 2. How many years of Experience do you have as  MLOps engineer   ?
• 3.  How many years of Experience do you have in  Python ?
• How many years of experience do you have in Docker, Kubernets  ?
• 4. Notice period
• 5. Current location
• 6. Current company name
• 7. Current salary
• 8. Expected salary