Taro Logo

Machine Learning Engineer - 1

Parspec is transforming the $5 trillion building construction products industry by digitizing and organizing product data, making it more accessible and useful for designers and builders.
Machine Learning
Mid-Level Software Engineer
Hybrid
11 - 50 Employees
1+ year of experience
This job posting may no longer be active. You may be interested in these related jobs instead:

Description For Machine Learning Engineer - 1

Parspec is revolutionizing the $5 trillion building construction products industry by digitizing and organizing product data. As a Machine Learning Engineer at Parspec, you'll be an early member of the engineering team, playing a key role in developing core software and maintaining a culture of excellence. You'll design and develop AI systems, including Computer Vision, NLP, and Recommendation Systems, and participate in the full product cycle from concept to deployment.

Key responsibilities include:

  • Developing state-of-the-art AI, NLP, and computer vision technologies
  • Implementing and deploying deep learning and machine learning models
  • Researching and implementing novel deep learning architectures
  • Integrating AI components into a fully functional system
  • Designing end-to-end data and ML pipelines

The ideal candidate has:

  • A Bachelor's or Master's degree in Science or Engineering
  • Strong programming skills and deep learning expertise in Computer Vision or NLP
  • Experience with Python and ML libraries (numpy, sklearn, matplotlib, pandas)
  • Proficiency in TensorFlow/Keras or PyTorch
  • An entrepreneurial spirit and passion for cutting-edge AI technologies

Parspec offers competitive salary, equity, flexible hours, and a hybrid work environment. Join us in bringing an entire industry to the forefront of the digital age!

Last updated a year ago

Responsibilities For Machine Learning Engineer - 1

  • Design and develop Computer Vision, NLP, and Recommendation Systems
  • Develop, train and deploy deep learning and machine learning models
  • Research and implement novel deep learning architectures
  • Integrate AI components into a fully functional system
  • Own and develop product features from concept to implementation
  • Design complete end-to-end data and ML pipelines
  • Collaborate with product managers, UX designers, and end-users

Requirements For Machine Learning Engineer - 1

Python
  • Bachelor's or Master's degree in Science or Engineering
  • At least 1 year of relevant experience (freshers may also apply)
  • Strong conceptual understanding of machine learning and deep learning
  • Experience with implementing ML projects in Python
  • Experience with implementing and training deep learning models in TensorFlow/Keras or PyTorch
  • Ability to write clean, efficient, and bug-free code

Benefits For Machine Learning Engineer - 1

  • Competitive salary
  • Company equity
  • Flexible hours
  • Hybrid work option

Interested in this job?