Neo is hiring a MLOps Engineering Intern in Thane — a hands-on, mentor-led internship built for students and 2026 freshers who want real exposure to MLOps and model infrastructure rather than a certificate-only programme.
About the role
As a MLOps Engineering Intern at Neo, your core focus will be…
About Neo
Neo offers a mentor-led MLOps Engineering Intern in Thane with live project work in machine learning, a stipend of ₹29,000/month and a Pre-Placement Offer opportunity for strong performers.
PythonDockerMLflowCI/CDKubernetes BasicsModel Serving APIsData VersioningMonitoring & Drift DetectionAWS or GCPGit
Who Can Apply
Final-year students and recent graduates from B.E./B.Tech (CSE/IT/ECE), BCA/MCA or B.Sc (Computer Science / IT) who are based in or willing to work from Thane. You should be keen to learn Python, Docker, MLflow on real projects and able to write clearly. Freshers are welcome — no prior work experience is required, and a strong project portfolio matters more than a long CV.
Perks
Exposure to professional tools and workflowsPre-Placement Offer (PPO) opportunityFlexible working hoursNetworking with senior professionalsInternship Certificate
Interview & Selection Process
3 rounds — typical selection flow for this role:
1Application screening & resume shortlisting by the talent team
2Team-fit / behavioural interview with the team
3HR discussion — stipend, start date, expectations and offer