Job Description

• 4-8 years of Hands on real-time experience in Deep Learning models for computer vision problems
• Expert level knowledge with Deep Learning frameworks TensorFlow, Keras, Fastai and PyTorch and
• Computer Vision libraries like OpenCV, OpenVino, SciPy, NumPy, TensorRT, CUDA
• Strong programming knowledge of Python or C++
• Good Understanding of Deep neural networks for 3D imagery implementation
• Data preparation, model generation and deep training, and then post image/video feed processing of the results
• Implementation of Machine Intelligence Lidar/RGB based big volumes and Knowledge of Advanced Image Processing concepts are needed in addition to ML
• Knowledge of git and version control and CI/CD
• Command over geometry, statistics and designing complex algorithms
• Drive to read research papers and implement new technologies
• Familiarity with NVIDIA’s Jetson Board & Deep Stream Framework on Linux/Ubuntu machines
• Working autonomously is essential and Error handling
• A successful history of manipulating, processing and extracting value from large disconnected datasets
• Data Ingestion, processing of structured and unstructured data in big data ecosystem – Hadoop, Spark and Spark Streaming
• Process data in NoSQL (Hive) and SQL (postgres) databases
• Data modelling and mining/ETL tasks
• Use programming languages – Python (numpy, scikitlearn) and Java
• Support UI/UX team working on web applications using css, jquery, javascript, J2EE, NodeJS, ReactJS

• Cloud experience with AWS, GCP or Azure

Skills & Experience

Deep Learning, Keras, OpenCV, Python Numpy, PyTorch, Tensorflow