Data Scientist

at Material Depot

Posted by Sarthak Agrawal

Hyderabad, Bengaluru (Bangalore)

2 - 6 yrs

₹12L - ₹20L / yr (ESOP available)

Full time

Skills

Data Science

Machine Learning (ML)

Deep Learning

R Programming

Python

Computer Vision

Job Description

Do you have a passion for computer vision and deep learning problems? We are looking for someone who thrives on collaboration and wants to push the boundaries of what is possible today! Material Depot (materialdepot.in) is on a mission to be India’s largest tech company in the Architecture, Engineering and Construction space by democratizing the construction ecosystem and bringing stakeholders onto a common digital platform. Our engineering team is responsible for developing Computer Vision and Machine Learning tools to enable digitization across the construction ecosystem. The founding team includes people from top management consulting firms and top colleges in India (like BCG, IITB), and have worked extensively in the construction space globally and is funded by top Indian VCs.

Our team empowers Architectural and Design Businesses to effectively manage their day to day operations. We are seeking an experienced, talented Data Scientist to join our team. You’ll be bringing your talents and expertise to continue building and evolving our highly available and distributed platform.

Our solutions need complex problem solving in computer vision that require robust, efficient, well tested, and clean solutions. The ideal candidate will possess the self-motivation, curiosity, and initiative to achieve those goals. Analogously, the candidate is a lifelong learner who passionately seeks to improve themselves and the quality of their work. You will work together with similar minds in a unique team where your skills and expertise can be used to influence future user experiences that will be used by millions.

In this role, you will:

Extensive knowledge in machine learning and deep learning techniques
Solid background in image processing/computer vision
Experience in building datasets for computer vision tasks
Experience working with and creating data structures / architectures
Proficiency in at least one major machine learning framework
Experience visualizing data to stakeholders
Ability to analyze and debug complex algorithms
Good understanding and applied experience in classic 2D image processing and segmentation
Robust semantic object detection under different lighting conditions
Segmentation of non-rigid contours in challenging/low contrast scenarios
Sub-pixel accurate refinement of contours and features
Experience in image quality assessment
Experience with in depth failure analysis of algorithms
Highly skilled in at least one scripting language such as Python or Matlab and solid experience in C++
Creativity and curiosity for solving highly complex problems
Excellent communication and collaboration skills
Mentor and support other technical team members in the organization
Create, improve, and refine workflows and processes for delivering quality software on time and with carefully calculated debt
Work closely with product managers, customer support representatives, and account executives to help the business move fast and efficiently through relentless automation.

How you will do this:

You’re part of an agile, multidisciplinary team.
You bring your own unique skill set to the table and collaborate with others to accomplish your team’s goals.
You prioritize your work with the team and its product owner, weighing both the business and technical value of each task.
You experiment, test, try, fail, and learn continuously.
You don’t do things just because they were always done that way, you bring your experience and expertise with you and help the team make the best decisions.

For this role, you must have:

Strong knowledge of and experience with the functional programming paradigm.
Experience conducting code reviews, providing feedback to other engineers.
Great communication skills and a proven ability to work as part of a tight-knit team.

About Material Depot

Founded

2020

Type

Product

Size

0-20 employees

Stage

Raised funding

View full company details

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