Machine Learning Engineer

|| Urgent Hiring || Senior ML Engineer – Computer Vision & Image Recognition || Hyderabad ||Location- HyderabadProfile- Senior ML Engineer – Computer Vision & Image RecognitionExperience-7 YearsCtc- upto 28 lpa (Depends on interview) Working days- 5 days (9:30am- 5:30 pm)About the RoleWe're hiring a top-class ML Engineer with deep expertise in Computer Vision - someone who can fine-tune SOTA models, build custom architectures from scratch when needed, and ship production-grade systems. You'll have access to a great pool of AI native talent within an AI native company, working on cutting edge tools and projects with strong exposure to the latest in AI driven analytics.Must-Have SkillsIndependently take a CV problem from requirement to deployed, optimized, monitored production system - including designingnew architectures when off-the-shelf models don't fit. Strong enough to justify every model/fine-tuning decision mathematically andtechnically.Education7+ yrs in ML/AI, full lifecycle (data -> model -> production)Strong mathematical foundation: linear algebra, probability & statistics, calculus/optimization theory, and the ability toderive/reason about model behavior (not just apply libraries)Fine-tuning AND building models from scratch on top vision architectures:ResNet, EfficientNet, MobileNetYOLO, Faster R-CNN, DETRU-Net, Mask R-CNN, SAMViT, Swin Transformer, CLIPStrong in classification, detection, segmentation, tracking and real-time video stream analyticsAbility to design custom model architectures for novel/non-standard requirements — not limited to fine-tuning existing onesPython, PyTorch/TensorFlow, OpenCV — expert levelModel evaluation: mAP, IoU, precision/recall, F1Experience taking models to production (APIs, containers, monitoring)MLOps: versioning, CI/CD, drift monitoringWillingness to learn and adopt AI tools within an advanced, AI native work ecosystem, including comfort using AI assistedanalysis, copilots, and emerging AI driven workflows as part of daily workGood-to-HaveEdge AI deployment (Jetson, Raspberry Pi, Qualcomm)Model optimization: quantization, pruning, distillation, ONNX, TensorRT, OpenVINOMLflow, Kubeflow, DVC, AirflowDocker, Kubernetes, Cloud (AWS/Azure/GCP)GenAI, VLMs, multimodal/foundation modelsEducationCS/AI/ML/Data Science/Math/Stats degree or equivalent experience.