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MLOps Engineer - Inperson Interview

CogniSoft Technologies

Hybrid in Concord, California • 3d ago

Easy Apply

Full-time

Depends on Experience

Senior MLOps Engineer II (AI Native)

Life360

Remote • Today

Full-time

USD 148,000.00 - 216,000.00 per year

CogniSoft Technologies

Job Details

Skills

MLOps Engineer

Summary

Responsibilities:

Deploy and maintain machine learning models in development and production environments.
Build and maintain CI/CD pipelines for ML applications.
Work with Git, Docker, Kubernetes, and cloud platforms such as AWS/Azure/Google Cloud Platform.
Automate model training, testing, deployment, and monitoring workflows.
Monitor model performance, application logs, and infrastructure.
Manage ML pipelines and datasets.
Collaborate with data scientists, ML engineers, and software developers.
Troubleshoot deployment and infrastructure issues.
Follow best practices for version control, security, and reproducible ML workflows.

Basic Skills Required:

Python and Linux fundamentals.
Git/GitHub.
Docker basics.
CI/CD concepts (Jenkins, GitHub Actions, GitLab CI, etc.).
Basic Kubernetes knowledge.
Basic cloud knowledge (AWS/Azure/Google Cloud Platform).
Understanding of ML lifecycle: data → training → validation → deployment → monitoring.
Basic knowledge of tools such as MLflow, Airflow, or Kubeflow is a plus.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 10527831
Position Id: 9056404
Posted 3 days ago

Company Info

About CogniSoft Technologies

CogniSoft Technologies focuses on providing niche Business Intelligence & Data Analytic solutions to businesses across various industries. We are Tableau Alliance Partners. We are also an SAP certified Company.

We are a team of experienced, dedicated, hardworking, and innovative professionals who have had proven their expertise in different business verticals such as Banking and Financial Industry, Healthcare, Supply chain, Insurance, Software Development, IT consulting, Business consulting etc.

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Fitment

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Anil Malapati

Talent Acquisition Lead @ CogniSoft Technologies

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Easy Apply

Full-time

Depends on Experience

CogniSoft Technologies

Job Details

Skills

MLOps Engineer

Summary

Responsibilities:

Deploy and maintain machine learning models in development and production environments.
Build and maintain CI/CD pipelines for ML applications.
Work with Git, Docker, Kubernetes, and cloud platforms such as AWS/Azure/Google Cloud Platform.
Automate model training, testing, deployment, and monitoring workflows.
Monitor model performance, application logs, and infrastructure.
Manage ML pipelines and datasets.
Collaborate with data scientists, ML engineers, and software developers.
Troubleshoot deployment and infrastructure issues.
Follow best practices for version control, security, and reproducible ML workflows.

Basic Skills Required:

Python and Linux fundamentals.
Git/GitHub.
Docker basics.
CI/CD concepts (Jenkins, GitHub Actions, GitLab CI, etc.).
Basic Kubernetes knowledge.
Basic cloud knowledge (AWS/Azure/Google Cloud Platform).
Understanding of ML lifecycle: data → training → validation → deployment → monitoring.
Basic knowledge of tools such as MLflow, Airflow, or Kubeflow is a plus.

Dice Id: 10527831
Position Id: 9056404
Posted 3 days ago

Company Info

About CogniSoft Technologies

Go to company profile

Fitment

Dice Job Match Score™

🫥 Flibbertigibetting...

Contact the job poster

Anil Malapati

Talent Acquisition Lead @ CogniSoft Technologies

View Profile

Create job alert

Never miss an opportunity! Create an alert based on the job you applied for.

Similar Jobs

Lead Apigee Developer

Hybrid in Charlotte, North Carolina

•

10d ago

Easy Apply

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Depends on Experience