Software Engineer (AI/ML/CV)
Brivo (company site, opens in a new tab)2–4 yrsBengaluruOn-siteDirect career pageEst. 12–22 LPA
Posted on 28 Sept
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Job description
Structured overview of role & requirements
About This Role
- Own end-to-end development of scalable machine learning solutions leveraging LLMs, VLMs, and Transformer architectures.
- Manage all stages of the ML lifecycle: data preprocessing, augmentation, training, versioning, ablation studies, and benchmarking.
- Collaborate with ML engineers and data labeling teams to translate problem requirements into architectures, codebases, and datasets.
Minimum Requirements
- Bachelor's or Master's degree in Computer Science or related disciplines.
- 2-4 years of relevant experience, with at least 1 year working with LLMs/VLMs including architecture, training, and SOTA models.
- Proficient in Python programming; working knowledge of C/C++ desirable.
- Familiarity with ML frameworks (PyTorch, TensorFlow), MLOps tools (model quantization, annotation, MLFlow), and Docker.
Ideal Candidate Profile
- Experienced with CNNs and Transformers validated by at least one successful product deployment.
- Strong theoretical and practical grounding in ML, mathematics, and statistics enabling resolution of ambiguous requirements.
- Comfortable working at the intersection of data engineering, research, and production with collaborative teams to innovate ML solutions.