Software Engineer (AI/ML/CV)

Brivo, Inc.; Bengaluru; On-site; INR 1,200,000 - 2,400,000; Full time

Job summary

Brivo, Inc. in Bangalore is seeking a Software Engineer (AI/ML/CV) to own end-to-end ML development, from data processing to model deployment, leveraging LLMs, VLMs, and transformer architectures.

The role collaborates with ML engineers to advance SOTA models, while applying CNNs/Transformers in real-world deployments. Proficiency in Python and ML frameworks is required; familiarity with MLOps and Docker is a plus.

Qualifications

• 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 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.

Responsibilities

• Handle all aspects of data filtering and agglomeration.
• Collaborate with other ML Engineers to brainstorm on best practices, updates on SOTA models.
• Translate problem requirements to 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

Python

ML concepts

CNNs

Transformers

MLOps

Mathematics

Statistics

Problem solving

Education

Bachelor's or Master's in CS

Tools

PyTorch

TensorFlow

MLFlow

Docker

Git

Job description

Software Engineer (AI/ML/CV)

Department: Engineering - Video

Employment Type: Full Time

Location: Bangalore

Reporting To: Engineering Manager

Description

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.

Qualifications

• 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.