Position: ML EngineerQualification: Bachelor's Degree Experience: 2+ years of experience in developing large scale ML modelsLocation: Work from HomeRoles & responsibilities: You will identify, leverage, and successfully evangelize opportunities to improve AI productivity You will prototype, develop and experiment with computer vision techniques and explore a variety of approaches You will understand product requirements and translate them into engineering goals and tasks You will explore new methods to leverage a large data-set of spontaneous real-world visual & image data You will build systems for an end to end production-grade stack with low latency and high throughput You will design, implement and optimize algorithms to run on edge devices You will leverage the Edge compute available to run a variety of offline algorithms spawning multiple use casesQualifications: Bachelors degree in Computer Science or related technical field or equivalent technical experience 2+ years of experience in developing large scale machine learning models Exposure in deep learning techniques (CNN, RNN, LSTM) on computer vision tasks (object detection, classification, object tracking) Expertise in the machine learning libraries such as Sci-Kit, Numpy, Pandas, OpenCV Experience working with deep learning frameworks (e.g. TensorFlow, Keras, PyTorch) including implementing custom layers Experience in working on large scale data, and deploying ML solutions into production environments Experience with Docker, and/or cloud deployment technologies Strong expertise in C++, and Python programming languages Strong expertise in Bash, PowerShell Strong expertise in working on Unix/Linux environments Experience with SQL, NoSQL databases Strong interpersonal, written, and verbal communication skillsAdditional: Experience with Ansible, Kubernetes, Docker etc. and/or cloud deploy deployment technologies Experience with Go programming language