# Software Engineer (AI/ML/CV) at Brivo

> Onsite · India · Unspecified · ML / AI · open. Source: https://alderhq.app/jobs/pinpoint%3Abrivo%3A587287 (read 2026-11-05).

## Facts (observed)

- Company: [Brivo](https://alderhq.app/companies/brivo)
- Location text: Bangalore, Indiranagar
- Where it can be done from (inferred): Onsite · India (evidence: "Location lists "bangalore"")
- Posted: already open when tracking began; date unknown
- First seen by alder: 2026-11-04 · last verified: 2026-11-04
- Reposted: 0 times · edited: 0 times
- Apply on the employer's site: https://careers.brivo.com/en/postings/d92371fe-6a93-4675-bf55-43e95da6affa
- Skills listed (inferred): Python, C++, PyTorch, TensorFlow, LLMs

## Pay and sponsorship

- Posted pay: not posted
- Market band for similar posted roles (India, n 3): p25 ₹26.3L, median ₹32.9L, p75 ₹38.5L

## Description (the employer's text)

Summary

In this role, you will take end-to-end ownership of converting complex problem statements into scalable, state-of-the-art machine learning solutions. Working at the intersection of data engineering, research, and deployment, you will harness LLMs, VLMs, and Transformer architectures to build, optimize, and version high-impact models alongside a collaborative team of ML engineers.

### Responsibilities

- Handle all aspects of data filtering and agglomeration.
- Collaborate with other ML Engineers to brainstorm on best practices, updates on SOTA models.
- Handle all translation of problem requirements to choice of architecture, codebase, and datasets. Enhancements of in-house/available open-source repositories to meet problem requirements.
- Work with data labeling teams to handle annotation metadata for your datasets.
- Handle all aspects of the Machine Learning cycle including data preprocessing, augmentations, training, model and experiment versioning, ablation studies and benchmarking.
### Skills

- Bachelors or Masters Degree in Computer Science or related disciplines.
- 2 - 4 years of experience required.
- At least 1 year of experience with LLMs/VLMs including their architecture, training, datasets, and knowledge of SOTA models and frameworks to leverage these models.
- Strong theoretical and prior experience of CNNs and Transformers including their usage in at least one successful product deployment
- Fluency in Python Programming.
- Working knowledge of C/C++ desirable.
- Familiarity with ML Frameworks like Pytorch, TensorFlow etc.
- Familiarity with MLOps, including Model Quantization, usage of annotation tools and model versioning tools like MLFlow.
- Strong background in Mathematics and Statistics.
- Sharp problem solving skills and ability to resolve ambiguous requirements
- Familiarity with Dockers.

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Data: alder (https://alderhq.app). Cite https://alderhq.app/jobs/pinpoint%3Abrivo%3A587287 and the date you read it. Observed facts come from the employer's own listing; location reach, level, family and skills are inferences.