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Location: Bengaluru, Karnataka, India
Additional locations: Open to remote candidates in India
Team: AI & Machine Learning
Job requisition: JOB-0336
Date posted: 4 Sept 2026
The AI team owns the models inside the product: resume understanding, candidate-to-role matching, and the assistive tooling recruiters use every day.
Own how jobs are ranked for a candidate and candidates for a role — the single most consequential model in the product, and the one where a fairness failure is a person not getting seen.
These models influence who a recruiter sees, which makes fairness a design constraint rather than a review step at the end. Every ranking change is evaluated for differential impact before it ships, and the team has standing authority to stop a launch. The input is genuinely hard — CVs in every format a human can invent, multilingual and code-mixed text, and documents photographed at an angle in bad light.
Day to day this role works with Python, Evaluation, Information Retrieval and Learning to Rank.
The same for every role, at every level — a haul truck driver and a staff engineer get the same cover.
Provident fund and gratuity as standard, group life and accident cover, and pay reviewed annually against the band for your level.
Family medical insurance including parents, an annual health check, and on-site occupational health at the mine and plant sites.
A yearly learning budget you choose how to spend, certification support, and sponsorship for the statutory tickets mining roles require.
Earned leave, casual and sick leave, public holidays by state, and parental leave for both parents.
Applying takes one form. You will get a Candidate ID immediately and can follow every stage from your dashboard.
None of these are required. They are the things that would help, and a strong application is regularly missing all of them.
Engineering with models in it. You build the evaluation set before you tune anything, and offline-to-online gaps are treated as the main risk rather than an inconvenience. Research is applied — the measure is whether it survives production traffic.
Deep specialisation is a career here, not a stepping stone. Research Engineer and Principal Data Scientist are terminal titles people hold for years.
Bengaluru is our largest site and where most of engineering, product, design, data and AI sit. The office is in the eastern corridor, and the majority of these roles are remote-friendly with the team meeting in person a few days a week.
The city has the deepest technology labour market in India, which cuts both ways: the work is here, and so is everyone else commuting to it. Teams are deliberate about core hours because a cross-city commute in the evening peak can take longer than the meeting it was for.
Equal Opportunity: Baalvion is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.
Hiring Disclosure: All hiring and employment practices in India adhere to local and national labor laws and regulations.
Labor Law Reference: Shops and Establishment Act, IT Act 2000
Remote-first where the work allows. At site-based operations, transport, canteen and township housing where they apply.