Senior VLM Developer – Vision Language Models
Location: Bangalore, India
Experience: 7.5+ Years
Joining: Immediate – September 2026

We are looking for an experienced Senior VLM Developer with robust foundations in Machine Learning and Deep Learning to build, fine-tune, and evaluate Vision-Language Models (VLMs) for multimodal perception and understanding applications.

The role involves developing large-scale training pipelines, curating multimodal datasets, experimenting with model architectures, and optimizing models for downstream applications.

Key Responsibilities
Design, implement, and fine-tune VLM architectures such as LLaVA, Qwen-VL, or similar models.
Develop data preprocessing and training pipelines for large-scale multimodal datasets.
Optimize model performance across visual-language benchmarks and internal use cases.
Collaborate with research and synthetic data teams to integrate generated data into model training.
Conduct ablation studies and experiments to evaluate model performance.
Maintain documentation of experiments, model behavior,



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

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

📌 Senior Vlm Developer – Vision Language Models Tumakuru
🏢 Technozis
📍 Tumakuru