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About the role
Knowledgeflex is looking for a talented and enthusiastic AI Engineers to join our team and build nextgeneration AI capabilities for our Video Management System (VMS). If you love working with LLMs, multimodal models, video generation, embeddings, and GPUbased inference, this role is for you. Responsibilities Build & finetune AI/ML models for video generation, summarization, tagging, and object detectionDevelop multimodal pipelines (text + image + video)Integrate AI models into VMS workflows (frame extraction, scene analysis, event detection)Work with Ollama, RunPod, NVIDIA GPUs, Python workersOptimize model performance, inference speed, and accuracyCollaborate with backend teams to deliver productionready APIs Required Skills Strong experience in Python, PyTorch/TensorFlow, OpenCV, FFmpegHandson with LLMs, diffusion models, embeddings, vector DBsExperience with GPU inference (CUDA) and cloud GPU platformsKnowledge of model finetuning (LoRA/QLoRA) Good to Have Experience with VMS or surveillance systemsMLOps, Docker, Kubernetes Experience : 1-3 Years (Excluding Internship Experience) Salary Range : 3.5-6.5 LPA Knowledgeflex is looking for a talented and enthusiastic AI Engineers to join our team and build nextgeneration AI capabilities for our Video Management System (VMS). If you love working with LLMs, multimodal models, video generation, embeddings, and GPUbased inference, this role is for you. Responsibilities Build & finetune AI/ML models for video generation, summarization, tagging, and object detectionDevelop multimodal pipelines (text + image + video)Integrate AI models into VMS workflows (frame extraction, scene analysis, event detection)Work with Ollama, RunPod, NVIDIA GPUs, Python workersOptimize model performance, inference speed, and accuracyCollaborate with backend teams to deliver productionready APIs Required Skills Strong experience in Python, PyTorch/TensorFlow, OpenCV, FFmpegHandson with LLMs, diffusion models, embeddings, vector DBsExperience with GPU inference (CUDA) and cloud GPU platformsKnowledge of model finetuning (LoRA/QLoRA) Good to Have Experience with VMS or surveillance systemsMLOps, Docker, Kubernetes Experience : 1-3 Years (Excluding Internship Experience) Salary Range : 3.5-6.5 LPA