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Software Engineer (AI/ML/CV)

Brivo · Bengaluru, India · Onsite

Weak hiring record · median 67 days open

9898

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Actively hiring

Still listed on the employer's own board · How we score

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  • 56% of this employer's openings are over 60 days old

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  • Still listed on the employer's own board

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Software Engineer (AI/ML/CV) at Brivo. We’ll keep it in your applied jobs, so you can see it later and be warned before applying to the same employer twice.

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.

Skills

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