Remote C# Engineer

2 weeks ago


Pune, India Sciverse Solutions Pvt. Ltd. Full time

Location: Pune / Remote-Hybrid Company: Sciverse Solutions Pvt. Experience Level: 4–5 years Employment Type: Full-time Department: AI & Advanced Technology ⸻ Sciverse is a deep-tech MedTech company developing AI-powered diagnostic platforms and smart healthcare solutions. Our product suite includes point-of-care analyzers, AI-first microscopy systems, and intelligent software for image, text, and sensor data analysis. At the frontier of diagnostics and digital health, we engineer meaningful impact at scale. ⸻ We are seeking a highly motivated and skilled Deep Learning and Computer Vision Engineer to join our core AI team. You will design, train, and deploy models for microscopy image analysis, diagnostic automation, embedded vision systems, and contribute toward exploring vision-language models (VLMs) for structured report generation. This is a hands-on engineering role where ownership, research depth, and deployment focus go hand-in-hand. ⸻ Model Development & Training • Work with real-world biomedical and diagnostic datasets including microscopy, photometry, and point-of-care device outputs. • Model Optimization & Deployment • Optimize models for embedded and edge inference (using TensorRT, ONNX, OpenVINO, etc.). • Collaborate with firmware and software teams for seamless deployment on custom devices. Computer Vision Pipeline Engineering • Vision-Language Exploration • BLIP, Flamingo, LLaVA, SAM + LLM) for microscopy captioning, report generation, or structured interpretations. • Contribute to prompt design, fine-tuning, or hybrid modeling efforts. Work with cross-functional teams including biology, embedded systems, and UI/UX to convert scientific problems into engineering models. • Stay up to date with state-of-the-art methods in vision, multimodal AI, and biomedical imaging. ⸻ Strong foundation in deep learning (CNNs, Transformers, Vision Backbones, etc.) • Experience with image classification, instance/semantic segmentation, object detection • Experience with training on real-world noisy datasets • Understanding of model deployment, optimization (ONNX, TensorRT, TFLite), and performance profiling • Bonus / Nice-to-Have Skills • Familiarity with medical imaging (DICOM, TIFF, proprietary formats) • Exposure to multi-modal or vision-language models (e.g., Knowledge of embedded vision (Jetson, Coral, RK3399) deployment • Publications or contributions to open-source in vision or biomedical AI • Familiarity with MLOps tools like MLflow, Docker, FastAPI ⸻ Passionate about solving real-world healthcare challenges with AI • Comfortable working in an agile, research-to-product environment ⸻ Solve unique AI and vision challenges at the intersection of biology, diagnostics, and embedded systems • Opportunity to take ideas from R&D to production in record time ⸻



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