Job Description

The Client is looking for a candidate with 4+ years of experience in developing large scale machine learning models

Job 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 cases

Job Requirements

• Bachelor's degree in Computer Science or related technical field or equivalent technical experience


• 4+ years of experience in developing large-scale machine-learning models


• Exposure to deep learning techniques (CNN, RNN, LSTM) on computer vision tasks (object detection, classification, object tracking)


• Expertise in the machine learning libraries such as Pandas, OpenCV


• Experience working with deep learning frameworks (e.g. TensorFlow, Keras, PyTorch) including implementing custom layers


• Experience working on Nvidia GPUs with AL/ML models


• 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 Python programming language


• Strong expertise in working on Unix/Linux environments


• Experient in AWS – EC2, S3. Docker.


• Experience with SQL, NoSQL databases, Message Queues


• Strong interpersonal, written, and verbal communication skills

sql tensorflow python aws docker

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