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Mumbai · On-site · 3-6 Yrs · Oct 12
2 views
1 open role0 posted in 7d1 in 30d
Hiring: Engineering
Job description
Overview
ML / AI engineer with hands-on experience of working with Time Series Data, layering of data and adopting complex parameters. At least 3-5 years of experience of working with customer data and handling ETL operations. Experience of converting machine learning models into APIs
Responsibilities
- Create data funnels to feed into models via web, structured and unstructured data
- Maintain coding standards using SDLC, Git, AWS deployments etc
- Deploy models in production and monitor them
- Take ownership of the solution from code to deployment and performance
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Job application FAQ
Last updated 25 October 2026
- How do I apply for AI / ML Engineer - Data Modelling & Statistical Analysis at nymbleUP?
- Open this job on Feedback AI and sign up free (or sign in). You can apply from the job detail page; match scores and skill gaps appear when your profile is complete. nymbleUP may attach structured assessments to interview rounds after you apply.
- Does Feedback AI show a match score for this AI / ML Engineer - Data Modelling & Statistical Analysis role?
- Yes after you add a resume or skills. Match score ranks this role against your profile — skills met, gaps, level, and location — so you prioritise applications where fit is strongest.
- Is AI / ML Engineer - Data Modelling & Statistical Analysis remote or on-site in Mumbai, Maharashtra?
- This listing is marked on_site with location Mumbai, Maharashtra. Confirm details on the job description before applying.
- What skills matter for this AI / ML Engineer - Data Modelling & Statistical Analysis role at nymbleUP?
- This is a mid-level AI / ML Engineer - Data Modelling & Statistical Analysis role. Key skills include skills listed in the job description. Feedback AI highlights matched vs missing skills on your profile after signup.