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Neo Wealth and Asset Management logo — Neo Wealth and Asset Management AI/ML Engineering Intern in Ahmedabad, Gujarat
Neo Wealth and Asset Management VerifiedActively Hiring

AI/ML Engineering Intern

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Location

Ahmedabad, Gujarat

Work Mode

In Office

Duration

6 months

Stipend

₹42,000/mo

Start Date

Immediate / Rolling

Openings

4 positions

Type

Full-time

Category

Machine Learning

Apply Now — ₹42,000/moApply on Company Website ↗

About the Internship

Neo Wealth and Asset Management has an open AI/ML Engineering Intern position in Ahmedabad for motivated freshers and final-year students. You will work on live AI engineering projects and finish with something you can genuinely talk about in interviews. About the role As a AI/ML Engineering…

About Neo Wealth and Asset Management

Neo Wealth and Asset Management offers a mentor-led AI/ML Engineering Intern in Ahmedabad with live project work in machine learning, a stipend of ₹42,000/month and a Pre-Placement Offer opportunity for strong performers.
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Ahmedabad, GujaratVerified employer4 openings
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Skills Required

PythonFastAPIREST APIsLLM IntegrationDockerModel DeploymentCloud PlatformsGitPrompt EngineeringTesting

Who Can Apply

  • Final-year students and recent graduates from B.E./B.Tech/BCA/MCA/M.Sc (CS, AI) who are based in or willing to work from Ahmedabad. You should be keen to learn Python, FastAPI, REST APIs 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

Live project experienceExposure to professional tools and workflowsPre-Placement Offer (PPO) opportunityFlexible working hoursNetworking with senior professionals

Interview & Selection Process

3 rounds — typical selection flow for this role:

  1. 1Application screening & resume shortlisting by the talent team
  2. 2Team-fit / behavioural interview with the team
  3. 3HR discussion — stipend, start date, expectations and offer
42,000/month

Stipend · 6 months

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Openings4 positions
Applicants3 applied
ModeIn Office
CategoryMachine Learning
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