Job Description
Senior VLM Developer – Vision Language Models
nLocation: Bangalore, India
nExperience: 7.5+ Years
nJoining: Immediate – September 2026
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nWe are looking for an experienced Senior VLM Developer with strong foundations in Machine Learning and Deep Learning to build, fine-tune, and evaluate Vision-Language Models (VLMs) for multimodal perception and understanding applications.
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nThe role involves developing large-scale training pipelines, curating multimodal datasets, experimenting with model architectures, and optimizing models for downstream applications.
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nKey Responsibilities
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- Design, implement, and fine-tune VLM architectures such as LLaVA, Qwen-VL, or similar models.n
- Develop data preprocessing and training pipelines for large-scale multimodal datasets.n
- Optimize model performance across visual-language benchmarks and internal use cases.n
- Collaborate with research and synthetic data teams to integrate generated data into model training.n
- Conduct ablation studies and experiments to evaluate model performance.n




- Maintain documentation of experiments, model behavior, and evaluation results.n
- Develop and optimize ML/DL solutions for complex business problems.n
- Work independently on statistical, machine learning, and research-oriented projects.n
- Collaborate with cross-functional teams to translate research and experimentation into practical AI solutions.n

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nRequired Skills
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- 7.5+ years of experience in Machine Learning / Deep Learning / Data Science.n
- Strong hands-on experience with Vision-Language Models (VLMs) and multimodal AI.n
- Experience designing and fine-tuning VLM architectures such as LLaVA, Qwen-VL, or equivalent models.n
- Solid hands-on expertise in PyTorch.n
- Experience with PyTorch Lightning.n
- Strong experience with the Hugging Face ecosystem.n
- Strong understanding of Transformers and vision-language architectures.n
- Experience with multimodal fusion techniques.

📌 Senior VLM Developer (Bengaluru)
🏢 Technozis
📍 Bengaluru