Opening For MLOps Developer

Talent Zone Consultant; Pune District; On-site; INR 1,200,000 - 2,100,000; Full time

Job summary

Talent Zone Consultant in Pune is seeking an experienced MLOps Developer to build, deploy, automate, and maintain machine learning pipelines. The role requires strong experience in ML model deployment, CI/CD, cloud platforms, and model monitoring.

Responsibilities include developing end-to-end ML pipelines, deploying and monitoring models in production, implementing CI/CD for ML workflows, automating training and deployment, and collaborating with Data Scientists, ML Engineers, and DevOps teams.

Qualifications

• BE/BTech/ME/MTech/MCA in Computer Science, IT, Data Science, or a related field.
• Salary Not Disclosed

Responsibilities

• Develop and manage end-to-end machine learning pipelines.
• Deploy, monitor, and maintain ML models in production environments.
• Implement CI/CD pipelines for machine learning workflows.
• Automate model training, testing, and deployment processes.
• Work with containerization and orchestration tools.
• Monitor model performance, scalability, and data quality.
• Collaborate with Data Scientists, ML Engineers, and DevOps teams.

Skills

MLOps

Python

Machine Learning

ML Pipelines

CI/CD

Model Deployment

Model Monitoring

MLflow

Education

BE/BTech/ME/MTech/MCA in Computer Science, IT, Data Science, or a related field

Tools

Docker

Kubernetes

AWS/Azure/GCP

MLflow

Job description

Job openings for Mlops Developer in Pune

Hiring: MLOps Developer
Location: Pune
Experience: 6-8 Years
Job Summary:
We are looking for an experienced MLOps Developer to build, deploy, automate, and maintain machine learning pipelines. The ideal candidate should have strong experience in ML model deployment, CI/CD, cloud platforms, and model monitoring.

Key Responsibilities

• Develop and manage end-to-end machine learning pipelines.


• Deploy, monitor, and maintain ML models in production environments.


• Implement CI/CD pipelines for machine learning workflows.


• Automate model training, testing, and deployment processes.


• Work with containerization and orchestration tools.


• Monitor model performance, scalability, and data quality.


• Collaborate with Data Scientists, ML Engineers, and DevOps teams.

Key Skills

• MLOps


• Python


• Machine Learning


• ML Pipelines


• Docker


• Kubernetes


• CI/CD


• MLflow


• AWS/Azure/GCP


• Model Deployment


• Model Monitoring

Qualification

Qualification: BE/BTech/ME/MTech/MCA in Computer Science, IT, Data Science, or a related field.

Salary Not Disclosed

Industry IT Software - Application Programming / Maintenance