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Machine Learning Engineer - 2

Parspec revolutionizes material procurement for construction industry by digitizing and organizing product data using proprietary AI technology.
Machine Learning
Mid-Level Software Engineer
Hybrid
11 - 50 Employees
3+ years of experience
AI · Construction
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Description For Machine Learning Engineer - 2

Founded in 2021, Parspec is transforming the $13 trillion USD construction industry through innovative AI technology. As a Machine Learning Engineer, you'll join their AI team to develop cutting-edge systems including NLP and LLM-based solutions. This role offers a unique opportunity to work on challenging data science problems while making a significant impact in digitizing the construction industry.

The position requires 3+ years of experience and combines hands-on technical work with collaborative problem-solving. You'll be responsible for designing and implementing computer vision, NLP, and recommendation systems, while working closely with cross-functional teams to deliver AI-driven features. The role demands expertise in Python, machine learning frameworks, and deep learning principles.

Parspec offers an attractive compensation package including equity, comprehensive health benefits, and flexible work arrangements. Based in Bangalore with a hybrid work setup, you'll be part of a fast-scaling company that values diversity and innovation. The company maintains high standards in code quality while encouraging creative solutions to complex problems.

This is an excellent opportunity for a motivated engineer who wants to be at the forefront of applying AI to transform one of the world's oldest industries. You'll work with state-of-the-art technologies while having the chance to grow with a rapidly expanding company. The role combines technical challenges with real-world impact, making it ideal for someone passionate about both AI innovation and practical applications.

Last updated 2 months ago

Responsibilities For Machine Learning Engineer - 2

  • Design and develop Computer Vision, NLP, and Recommendation Systems
  • Research and implement novel deep learning architectures
  • Develop, train, and deploy scalable machine learning models
  • Collaborate with product managers, UX designers, and end-users
  • Build products that handle large data volumes efficiently
  • Design complete end-to-end data pipelines and ML pipelines
  • Work with leadership team on research and development efforts

Requirements For Machine Learning Engineer - 2

Python
  • Bachelor's or Master's degree in Science or Engineering
  • Strong programming, critical thinking, and analytical skills
  • Strong conceptual understanding of machine learning and deep learning principles
  • Expertise in Computer Vision or Natural Language Processing (NLP)
  • Hands-on experience implementing ML projects in Python
  • Proficiency in training deep learning models using TensorFlow/Keras or PyTorch
  • Ability to write clean, efficient, and bug-free code
  • Proven ability to lead initiatives from concept to operation

Benefits For Machine Learning Engineer - 2

Medical Insurance
Education Budget
Equity
  • Competitive salary
  • Family insurance coverage
  • Free health teleconsultations
  • Learning/upskilling budgets
  • Equity in the company
  • Flexible hours
  • Hybrid work setup
  • Unlimited PTO

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