Senior Computer Vision AI / VLM / LLM

Senior AI Engineer Medical Computer Vision & Multimodal AI Contract period - 6 to 12 months Job location - Bangalore Salary - 30lpa Max Experience - 10 Years About the Role We are looking for a Senior AI Engineer with expertise in Medical Computer Vision and Multimodal AI to develop and fine-tune advanced AI models for medical image detection and automated report generation. You will take ownership of model development, architecture decisions, evaluation, and deployment while working independently with global teams. Key Responsibilities Develop and fine-tune multimodal AI models for medical imaging. Build AI solutions for image classification, detection, localization, and report generation. Preprocess and prepare medical imaging datasets (Chest X-ray, CT, MSK X-ray). Improve model accuracy through error analysis, calibration, and uncertainty estimation. Fine-tune Vision-Language Models (VLMs) using LoRA/QLoRA and distributed GPU training. Develop DICOM-based data pipelines for large-scale model training. Evaluate models using metrics such as BLEU, ROUGE, CheXbert, and RadGraph. Work with AWS cloud environments and collaborate with global engineering teams. Communicate technical decisions, risks, and recommendations to stakeholders. Required Skills Strong knowledge of Medical Computer Vision. Experience in Image Classification Object Detection & Localization Image Representation Learning Model Evaluation Experience with medical imaging datasets such as: Chest X-ray Neuro CT MSK X-ray Hands-on experience with: PyTorch MONAI HuggingFace Experience fine-tuning Vision-Language Models using: LoRA / QLoRA Distributed GPU Training Experience with DICOM data pipelines. AWS cloud experience. Knowledge of multimodal AI and medical foundation models. Experience with report generation and evaluation metrics like: BLEU ROUGE CheXbert RadGraph Qualifications 10+ years of experience in AI, Machine Learning, Computer Vision, or related fields. Strong experience in Medical Imaging AI. Excellent communication and stakeholder management skills. Ability to work independently and collaborate across global teams. Demonstrated technical leadership and ownership of AI solutions. Ideal Candidate We're looking for someone who: Has deep expertise in Medical Computer Vision and Multimodal AI. Can independently design, develop, and optimize AI solutions. Has experience with large-scale medical imaging datasets and Vision-Language Models. Is comfortable making architectural decisions and mentoring teams. Can clearly communicate technical trade-offs and proactively identify risks. .