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.
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- Develop data preprocessing and training pipelines for large-scale multimodal datasets.
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- Optimize model performance across visual-language benchmarks and internal use cases.
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- Collaborate with research and synthetic data teams to integrate generated data into model training.
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- Conduct ablation studies and experiments to evaluate model performance.
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- Maintain documentation of experiments, model behavior, and evaluation results.
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- Develop and optimize ML/DL solutions for complex business problems.
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- Work independently on statistical, machine learning, and research-oriented projects.
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- Collaborate with cross-functional teams to translate research and experimentation into practical AI solutions.
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nRequired Skills

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- 7.5+ years of experience in Machine Learning / Deep Learning / Data Science.
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- Strong hands-on experience with Vision-Language Models (VLMs) and multimodal AI.
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- Experience designing and fine-tuning VLM architectures such as LLaVA, Qwen-VL, or equivalent models.
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- Strong hands-on expertise in PyTorch.
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- Experience with PyTorch Lightning.
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- Strong experience with the Hugging Face ecosystem.
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- Robust understanding of Transformers and vision-language architectures.
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- Experience with multimodal fusion techniques.
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- Experience with distributed training frameworks.
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- Hands-on experience with large-scale model training, fine-tuning, and evaluation.
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- Experience with PEFT / parameter-efficient fine-tuning and/or reinforcement learning techniques.
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- Strong experience in data preprocessing and multimodal dataset preparation.
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- Experience working with synthetic data is preferred.
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nMandatory Domain Experience

nCandidates must have experience in at least one of the following domains:

nCPG | Retail | Pharma

nCandidates without relevant CPG, Retail, or Pharma domain experience should not be considered.

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nEducation

nB.Tech / M.Tech / Ph.D. in:

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- Computer Science
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- Artificial Intelligence
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- Machine Learning
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- Data Science
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- Or a related technical discipline
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nJoining Requirement: Immediate joiners only.

nCandidates must be able to join on or before 30 September 2026.

nCandidates with a joining date after 30 September 2026 will not be considered.

📌 Senior VLM Developer - Vision Language Models (Bengaluru)
🏢 Technozis
📍 Bengaluru