AI Technical Lead – Deep Learning & Backend Engineer

We’re Hiring: AI Technical Lead – Deep Learning Model & Backend Location: Pune, Maharashtra (On-site) Company: Sciverse Solutions Pvt. Ltd. Experience: 5–7+ Years At Sciverse, we’re building the next generation of AI-powered medical imaging and point-of-care diagnostic technologies. We’re looking for a hands-on AI Technical Lead who can own the complete AI stack—from backend architecture to production-grade computer vision and deep learning solutions. If you’re passionate about building real-world AI products rather than just research prototypes, we’d love to hear from you.

Key Responsibilities •⁠ ⁠Lead the design, development, and deployment of AI-powered image and video analysis systems. •⁠ ⁠Build scalable backend applications using Python, Django, FastAPI, and REST APIs. •⁠ ⁠Develop high-performance modules in C++. •⁠ ⁠Design and optimize Computer Vision and Deep Learning models for production. •⁠ ⁠Build real-time image and video processing pipelines. •⁠ ⁠Deploy AI models on cloud and edge devices. •⁠ ⁠Collaborate with multidisciplinary teams including software, embedded systems, optics, electronics, and biosciences. •⁠ ⁠Mentor engineers and drive technical architecture and code quality.

Required Skills Programming •⁠ ⁠Python •⁠ ⁠C++ •⁠ ⁠SQL •⁠ ⁠Git •⁠ ⁠Linux

Backend •⁠ ⁠Django •⁠ ⁠Django REST Framework •⁠ ⁠FastAPI •⁠ ⁠REST APIs •⁠ ⁠Microservices •⁠ ⁠WebSockets

Computer Vision & Image Processing •⁠ ⁠OpenCV •⁠ ⁠Image Processing •⁠ ⁠Video Processing •⁠ ⁠Image Enhancement & Restoration •⁠ ⁠Image Registration •⁠ ⁠Image Stitching •⁠ ⁠Super Resolution •⁠ ⁠OCR •⁠ ⁠Object Detection •⁠ ⁠Object Tracking •⁠ ⁠Multi-Object Tracking •⁠ ⁠Feature Detection & Matching •⁠ ⁠Face Detection & Recognition •⁠ ⁠Pose Estimation •⁠ ⁠Gesture Recognition •⁠ ⁠Motion Detection •⁠ ⁠Camera Calibration •⁠ ⁠Stereo Vision •⁠ ⁠3D Vision & Reconstruction •⁠ ⁠Medical Imaging •⁠ ⁠Microscopy Image Analysis •⁠ ⁠Digital Holography (Preferred)

Deep Learning •⁠ ⁠PyTorch •⁠ ⁠TensorFlow •⁠ ⁠Keras •⁠ ⁠ONNX •⁠ ⁠CUDA •⁠ ⁠TensorRT

Experience with: •⁠ ⁠CNNs •⁠ ⁠Vision Transformers (ViTs) •⁠ ⁠YOLO •⁠ ⁠Faster R-CNN •⁠ ⁠Mask R-CNN •⁠ ⁠U-Net •⁠ ⁠DeepLab •⁠ ⁠ResNet •⁠ ⁠EfficientNet •⁠ ⁠MobileNet •⁠ ⁠GANs •⁠ ⁠Diffusion Models

AI Applications •⁠ ⁠Image Classification •⁠ ⁠Video Analytics •⁠ ⁠Object Detection •⁠ ⁠Image & Video Segmentation •⁠ ⁠OCR & Document AI •⁠ ⁠Medical Image Analysis •⁠ ⁠Cell Detection & Classification •⁠ ⁠Digital Pathology •⁠ ⁠Visual Inspection •⁠ ⁠Defect Detection •⁠ ⁠Anomaly Detection

Deployment •⁠ ⁠Docker •⁠ ⁠Kubernetes (Preferred) •⁠ ⁠NVIDIA Jetson •⁠ ⁠Edge AI •⁠ ⁠ONNX Runtime •⁠ ⁠Model Optimization & Quantization •⁠ ⁠Azure / AWS / GCP

Preferred Experience •⁠ ⁠Medical AI •⁠ ⁠Healthcare Software •⁠ ⁠Diagnostic Devices •⁠ ⁠Microscopy •⁠ ⁠Digital Pathology •⁠ ⁠Optical Imaging Systems •⁠ ⁠Edge AI Deployment •⁠ ⁠Production AI Systems

What We’re Looking For •⁠ ⁠Strong software engineering and system design skills. •⁠ ⁠Experience leading technical teams and AI projects. •⁠ ⁠Ability to convert research into scalable production solutions. •⁠ ⁠Excellent debugging, optimization, and problem-solving skills. •⁠ ⁠Startup mindset with ownership and execution focus.

Why Join Sciverse? At Sciverse, you’ll work at the intersection of Artificial Intelligence, Computer Vision, Medical Imaging, Embedded Systems, and Point-of-Care Diagnostics. You’ll build technologies that have the potential to transform healthcare and improve millions of lives worldwide.

Interested? Apply here or send your resume to careers@sciverse.co.in with the subject line: Application – AI Technical Lead.