Machine Learning Engineer - Computer Vision
Leena AI, India

Leena AI was founded by IIT Delhi alumnus amp; senior industry veterans with a belief that AI can transform the way enterprises work. We’ve raised over $10 million from Top-Tier Silicon Valley investors like Greycroft, YCombinator, Elad Gil, Snapdeal Co-Founders amp; have partners like Oracle, Workplace by Facebook.

We create awesome bots! We improve employee experience through intelligent conversations, making it easier for employees to get the answers they’re looking for. Our vision is to be Siri for enterprise employees, amp; our mission is to help enterprises build employee experience that puts people first! We are a team of passionate self-starters, who encourage each other to innovate and grow every day!

If you’ve got a passion for AI, strong work ethic and a head full of ideas, we’d like to hear from you!

We are looking for people who are always concerned about the innovation. We value creativity, hard work, initiative, and radical ideas. We are looking for Computer Vision Specialists, who have interests in the cutting-edge deep learning technologies to help us solve unsolved computer vision problems.

Responsibilities

• Develop computer vision systems for enterprises to be used by hundreds of our customers
• Enhance existing Computer vision systems to achieve high performance
• Prototype new algorithms rapidly, iterating to achieve high levels of performance
• Package these prototypes as robust models written in production level code to be integrated into the product
• Work closely with the ML engineers to explore and enhance new product features leading to new areas of business

Requirements

• Strong understanding of linear algebra, optimisation, probability, statistics
• Experience in the data science methodology from exploratory data analysis, feature engineering, model selection, deployment of the model at scale and model evaluation
• Background in machine learning with experience in large scale training and convolutional neural networks
• Deep understanding of evaluation metrics for different computer vision tasks
• Knowledge of common architectures for various computer vision tasks like object detection, recognition, and semantic segmentation
• Experience with model quantization is a plus
• Experience with Python Web Framework (Django/Flask/FastAPI), Machine Learning frameworks like Tensorflow/Keras/Pytorch

Benefits

• Work From Home
• Paid Time Off
• Private Health Insurance
• Performance Bonus

Job Rewards and Benefits