Machine Learning Engineer
Description For Machine Learning Engineer
Parspec is revolutionizing the construction industry by digitizing and organizing product data for the $5 trillion building construction products market. Our digital platform uses proprietary AI and workflow automation to help designers and builders quickly identify the right products and assist the supply chain in generating leads and closing deals faster.
As an early member of the AI team, you'll play a crucial role in developing core software and maintaining a culture of excellence. You'll work on cutting-edge AI, NLP, and LLM problems, participate in the full product development cycle, and collaborate with business, product, and engineering teams.
Key responsibilities include:
- Designing and developing Computer Vision, NLP, and Recommendation Systems
- Developing, training, and deploying machine learning models
- Researching and implementing novel deep learning architectures
- Integrating AI components into fully functional systems
- Designing end-to-end data and ML pipelines
Required skills:
- Bachelor's or Master's in Science or Engineering
- Strong understanding of machine learning and deep learning
- Experience with Python and ML libraries
- Proficiency in TensorFlow/Keras or PyTorch
- Clean and efficient coding skills
We offer competitive salary, equity, flexible hours, hybrid work setup, unlimited PTO, and the opportunity to grow with a rapidly scaling company. Join us in transforming one of the world's oldest and largest industries!
Responsibilities For Machine Learning Engineer
- 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
- Work closely with product managers, UX designers and end-users
- Design complete end-to-end data and ML pipelines
- Collaborate with the leadership team in research and development efforts
Requirements For Machine Learning Engineer
- Bachelor's or Master's degree in Science or Engineering
- 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
- Competitive salary
- Insurance coverage for employee and immediate family
- Free health teleconsultations
- Learning and upskilling budgets
- Company equity
- Flexible hours
- Unlimited PTO
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