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Ftcash logo — Ftcash Machine Learning Engineer Intern in Mapusa, Goa
Ftcash VerifiedActively Hiring

Machine Learning Engineer Intern

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Location

Mapusa, Goa

Work Mode

In Office

Duration

3 months

Stipend

₹27,000/mo

Start Date

Immediate / Rolling

Openings

3 positions

Type

Full-time

Category

Machine Learning

Apply Now — ₹27,000/moApply on Company Website ↗

About the Internship

Ftcash has an open Machine Learning Engineer Intern position in Mapusa for motivated freshers and final-year students. You will work on live applied machine learning and model deployment projects and finish with something you can genuinely talk about in interviews. About the role As a Machine…

About Ftcash

Ftcash offers a mentor-led Machine Learning Engineer Intern in Mapusa with live project work in machine learning, a stipend of ₹27,000/month and a Pre-Placement Offer opportunity for strong performers.
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Mapusa, GoaVerified employer3 openings
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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 Mapusa. 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

Networking with senior professionalsInternship CertificateLetter of RecommendationMentorship from a named mentorLive project experience

Interview & Selection Process

3 rounds — typical selection flow for this role:

  1. 1Application screening & resume shortlisting by the talent team
  2. 2Discussion with the hiring manager on the role and your fit
  3. 3HR discussion — stipend, start date, expectations and offer
27,000/month

Stipend · 3 months

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Openings3 positions
Applicants0 applied
ModeIn Office
CategoryMachine Learning
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