Machine Learning Engineer - 2
Description For Machine Learning Engineer - 2
Parspec is revolutionizing the $5 trillion construction industry by digitizing and organizing product data through their innovative platform. Founded in 2021 with $11M in seed funding, they're seeking a Machine Learning Engineer to join their AI team. The role involves developing state-of-the-art AI systems, working with LLMs & NLP, and participating in the full product development cycle. The ideal candidate will have 3+ years of experience, strong ML/DL expertise, and Python proficiency. They'll work on cutting-edge technologies including Computer Vision, NLP, and Recommendation Systems, while collaborating with a globally distributed team. The position offers competitive compensation, equity, flexible work arrangements, and comprehensive benefits. This is an opportunity to be part of a transformative company backed by notable investors like Innovation Endeavors, working alongside experienced leadership from companies like Katerra and prestigious institutions like Stanford University. The role is based in Bangalore, India, with a hybrid work setup, making it perfect for someone who wants to make a significant impact in digitalizing the construction industry while working with cutting-edge AI technologies.
Responsibilities For Machine Learning Engineer - 2
- 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 in the cycle of product design, development, integration and testing
- Own and develop product features from concept to implementation
- Design complete end-to-end data and ML pipelines
- Collaborate with the leadership team in research and development efforts
Requirements For Machine Learning Engineer - 2
- Bachelor's or Master's degree in Science or Engineering field
- 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
- Ability to lead an initiative from concept to operation
Benefits For Machine Learning Engineer - 2
- Competitive salary
- Insurance coverage for employee and immediate family
- Free health teleconsultations
- Learning and upskilling budgets
- Company equity
- Flexible hours
- Hybrid work setup
- Unlimited PTO
Jobs Related To Parspec Machine Learning Engineer - 2
