ML Engineer

ML Engineer

AI powered procument software for construction industry

Salary

Salary

Salary

25 LPA

25 LPA

Bounty

Bounty

Bounty

80k or iPhone 16

80k or iPhone 16

Location

Location

Location

Bangalore

Bangalore

Job Type

Job Type

Job Type

In office

In office

Exp. Reqd.

Exp. Reqd.

2-4 years

2-4 years

2-4 years

About the Company

About the Company

By making this data more accessible and useful, our digital platform enables designers and builders to quickly identify the right products for their projects and helps the supply chain to generate new leads and close deals faster. These benefits are enabled by proprietary AI and workflow automation technology, raised over $11M in seed financing from leading deep tech and construction industry investors to achieve its ambitious mission.

Must haves

Must haves

- Bachelor’s or Master’s degree in Science or Engineering field and excellent programming, critical thinking and analytical skills

- Strong conceptual understanding of machine learning and deep learning. Deep learning expertise in Computer Vision or Natural Language Processing

- Experience with implementing ML projects in Python and working knowledge of Python libraries like numpy, sklearn, matplotlib, pandas, etc

- 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, navigating all stages and roadblocks on the way

Responsibilities

Responsibilities

- Design and develop Computer Vision, NLP and Recommendation Systems for our app

- 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 for our apps

- Own and develop product features from concept to implementation

- Develop products which will be cutting edge & highly scalable to deal with huge data volumes and extensible to onboard new clients

- Work closely with product managers, UX designers and end-users for integrating software and AI components into a fully functional system

- Design complete end-to-end data and ML pipelines

- Uphold our culture of engineering excellence

- Collaborate with the leadership team in research and development efforts

Tech Stack

You are passionate about developing state-of-the-art AI, NLP & LLMs. - You are well versed with deployments on different platforms such as AWS & GCP and don’t fear getting your hands dirty.

Apply or refer here

Apply or refer here

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