Develop and maintain code that leverages computer vision, natural language processing and machine learning algorithms and technologies in solving hot business problems
Utilize machine learning concepts and algorithms, and as well as other deep learning architectures to analyze video, images and large text corpora
Review and train machine learning models in and evaluate their performance
Develop product similarity and product recommender routines, adjust them to efficiently work as in-app features
Understand and apply natural language processing in sentiment analysis, named entity recognition, and text summarization
Orchestrate computer vision tasks of image classification, object detection, image segmentation, face and pose detection, movement and facial expression
Deploy machine learning models to production environments and showcase proficiency in version control systems
Gear usage of the image and video generation to support the business processes of our partners and their end-customers
Keep up to date with latest advances in AI and machine learning
Gain a deep understanding of our product and become involved in driving out product implementation
Join a rapidly growing AI Data team with the opportunity to take on both product and technical problems
If youre right for this role, you
Have 4+ years of Data Science or Machine Learning experience
Have strong programming skills in Python (will be tested through interview process)
Have sound judgment for solving issues pragmatically without adding technical debt
Demonstrate skills in designing, building, and evaluating predictive models and AI algorithms. Deep understanding of the recent landscape of possible AI solutions.
Have passion for understanding business stakeholders problems and solving them in innovative and efficient ways
Being skilled with cloud services (AWS, GCP, Azure) for deploying cloud solutions and APIs.
Bring proven expertise in computer vision and NLP to the common table (will be assessed in the interview process)
Be comfortable in a fast paced, pragmatic work environment
Have a strong understanding of core computer science principles, hone standard CI/CD practices
Experience with e-commerce and/or live-selling platforms is a strong plus
Work well in a remote, collaborative team environment; Have the ability to communicate your thought process in problem-solving, verbally and over Slack
Have a mindset towards high-quality output and attention to detail, comfortable being able to provide and receive feedback in code reviews
Possess strong analytical and problem-solving skills, be curious about new approaches and recent research
Have strong desire to learn and stay updated with the latest in AI and machine learning. Persistent and resilient in the face of challenging technical problems
Experience in Machine learning Ops is a plus for candidate
Are a strong written and verbal communicator; English native speaker or Advanced English language skills
Must be able to flex at least 4 working hours to overlap with North American time zones; Requirement to work until 3pm EST (US) to have team interaction with teams from the other time zones.