Location
Noida, Uttar Pradesh
Work Mode
Hybrid
Duration
4 months
Stipend
₹27,000/mo
Start Date
Immediate / Rolling
Openings
1 positions
Type
Full-time
Category
Machine Learning
About the Internship
Neo Wealth and Asset Management is hiring a Machine Learning Engineer Intern in Noida — a hands-on, mentor-led internship built for students and 2026 freshers who want real exposure to applied machine learning and model deployment rather than a certificate-only programme.
About the role
As a…
About Neo Wealth and Asset Management
Neo Wealth and Asset Management offers a mentor-led Machine Learning Engineer Intern in Noida with live project work in machine learning, a stipend of ₹27,000/month and a Pre-Placement Offer opportunity for strong performers.
See all Neo Wealth and Asset Managementinternships →Noida, Uttar PradeshVerified employer1 opening
Apply to Neo Wealth and Asset Management →Skills Required
PythonTensorFlowScikit-LearnModel Deployment (MLOps)Feature EngineeringPandas & NumPyModel Evaluation MetricsDockerREST / gRPC Model ServingExperiment Tracking (MLflow)
Who Can Apply
- Final-year students and recent graduates from B.E./B.Tech (CSE/IT/ECE), BCA, MCA, M.Sc (CS / Statistics) or M.Tech who are based in or willing to work from Noida. You should be keen to learn Python, TensorFlow, Scikit-Learn 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
4 rounds — typical selection flow for this role:
- 1Application screening & resume shortlisting by the talent team
- 2Team-fit / behavioural interview with the team
- 3Online aptitude / domain assessment
- 4HR discussion — stipend, start date, expectations and offer
₹27,000/month
Stipend · 4 months
Openings1 positions
Applicants0 applied
ModeHybrid
CategoryMachine Learning
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