Junior MLOps Engineer

About the Role

Rushikonda IT SEZ in Visakhapatnam has a Junior MLOps Engineer internship, on site, with a data science team building the deployment infrastructure behind machine learning models. No prior experience is required, though the team wants genuine hands-on comfort with Docker and basic ML concepts.

A Day in This Job

The work covers exploring and cleaning raw data, applying statistical and machine learning techniques, presenting findings to stakeholders, and recommending data-driven decisions, with a specific focus on the deployment and infrastructure side of that pipeline rather than only model training itself. MLOps sits at the intersection of data science and infrastructure engineering, and this internship is built to teach both.

What You'll Work On

• Support ML pipeline deployment using Docker and Kubernetes
• Assist with CI/CD setup for model deployment
• Support data exploration and cleaning tasks
• Monitor deployed model performance under senior guidance

Qualifications

A bachelor's degree in computer science, statistics, or a related quantitative field is expected, along with hands-on experience building and deploying machine learning models using Python and common ML frameworks, even at a coursework or personal project level.

Skills That Matter

• Python
• ML pipeline tools
• Docker and Kubernetes fundamentals
• CI/CD basics

Good to Have

Any personal project deploying a model beyond a notebook, basic cloud platform familiarity, and genuine interest in the infrastructure side of machine learning rather than only model accuracy.

Why This Role

Rushikonda IT SEZ has become a growing pocket of Visakhapatnam's tech scene, and this team's models feed into real products, giving interns exposure to the deployment challenges that a purely academic machine learning project never surfaces. Naukri Mitra has listed a few internship roles from this employer, and past interns describe the shift from "does the model work" to "does the model work reliably in production" as the most valuable lesson from the program.

The Interview Process

Interviews include a technical conversation about Docker and deployment concepts and a discussion of any ML project from your background. Candidates who show genuine interest in the deployment side, not just modeling, tend to interview well.

Benefits

• Monthly stipend
• Mentorship from senior team members
• Certificate of completion
• Strong potential for a full-time offer
• Relocation assistance and accommodation support for interns moving to Visakhapatnam

Location & Pay

This internship is based at Rushikonda IT SEZ, Visakhapatnam, pin code 530045, five days a week on site. The stipend is up to ₹22,000 a month. The team hopes to start someone within three to four weeks.