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Full-Time

AI/ML Engineer

Posted on 6/27/2024

Magical

Magical

11-50 employees

AI-powered productivity app for automation

AI & Machine Learning

Senior, Expert

Toronto, ON, Canada + 1 more

Category
Applied Machine Learning
Deep Learning
Computer Vision
AI & Machine Learning
Required Skills
Microsoft Azure
Python NLTK
Python
Tensorflow
Pytorch
Postgres
Docker
AWS
Pandas
NumPy
Computer Vision
Google Cloud Platform
Requirements
  • Proficient in Python, or JavaScript and TypeScript
  • Experience with any cloud provider such as AWS, GCP, or Azure
  • Passion for building innovative solutions
  • Expertise in AI/ML model design and development using TensorFlow, PyTorch, scikit-learn, Pandas, NumPy, NLTK, spaCy, OpenCV, or similar
  • Experience with RPA technologies like Apache Airflow, Camunda, Tesseract, Google Cloud Vision, Amazon Rekognition, and AWS services like EC2, S3, Lambda, Elastic Beanstalk
  • Knowledge of CI/CD tools and Docker
  • Ability to work collaboratively in a fast-paced environment
  • Excitement about leveraging OpenAI and Gemini technologies
Responsibilities
  • Collaborate with frontend and full-stack teams to implement machine learning functionalities into React.js and Redux applications
  • Integrate AI/ML solutions with existing Node.js applications
  • Conduct data preprocessing, feature engineering, and model evaluation
  • Optimize database interactions using PostgreSQL
  • Manage and query large datasets with PostgreSQL
  • Deploy and manage applications and data with AWS services like EC2, S3, Lambda, Elastic Beanstalk
  • Manage workflows and data pipelines using tools like Apache Airflow, Camunda
  • Perform OCR tasks with Tesseract and advanced image and video analysis with Google Cloud Vision or Amazon Rekognition
  • Use Docker for containerizing applications

Magical is a productivity app that leverages AI to automate repetitive tasks such as data entry, messaging, and form filling, without the need for integrations or APIs. It is compatible with over 10,000,000 websites and is utilized by over 500,000 individuals at 20,000 companies.

Company Stage

Series A

Total Funding

$41M

Headquarters

San Francisco, California

Founded

2020

Growth & Insights
Headcount

6 month growth

6%

1 year growth

6%

2 year growth

95%