

DATASEE.AI, INC.
https://datasee.ai/About
Datasee.AI was started to serve one purpose – make the power of big data and artificial intelligence easily accessible for every business at every stage of their operational cycle. With our image analytics platform, businesses can digitize their assets with a simple pane for all teams, avoid operational and organizational silos, mitigate risks, and increase profitability. While predominantly used by players in the renewable energy and farming sectors, our team is working to expand our capabilities across multiple industries. At Datasee.AI, we use cutting-edge technology to minimize human errors.
KEY POINTERS
1. Our average age of employees is 24!
2. One of the very few multi-disciplinary engineering companies in India with global operations (six countries & counting)
3. Multi-Disciplinary Engineering is our Forte - Engineers from Mechanical, Environmental, Geo-Informatics, Computer Science, Energy Engineering, Aerospace Engg, Product Design, Electrical Engg & even Irrigation Management
4. Focused on building products for clean energy management & monitoring
Join us to learn and grow together!
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Jobs at DATASEE.AI, INC.

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Do you want to help build real technology for a meaningful purpose? Do you want to contribute to making the world more sustainable, advanced and accomplished extraordinary precision in Analytics?
What is your role?
As a Computer Vision & Machine Learning Engineer at Datasee.AI, you’ll be core to the development of our robotic harvesting system’s visual intelligence. You’ll bring deep computer vision, machine learning, and software expertise while also thriving in a fast-paced, flexible, and energized startup environment. As an early team member, you’ll directly build our success, growth, and culture. You’ll hold a significant role and are excited to grow your role as Datasee.AI grows.
What you’ll do
- You will be working with the core R&D team which drives the computer vision and image processing development.
- Build deep learning model for our data and object detection on large scale images.
- Design and implement real-time algorithms for object detection, classification, tracking, and segmentation
- Coordinate and communicate within computer vision, software, and hardware teams to design and execute commercial engineering solutions.
- Automate the workflow process between the fast-paced data delivery systems.
What we are looking for
- 1 to 3+ years of professional experience in computer vision and machine learning.
- Extensive use of Python
- Experience in python libraries such as OpenCV, Tensorflow and Numpy
- Familiarity with a deep learning library such as Keras and PyTorch
- Worked on different CNN architectures such as FCN, R-CNN, Fast R-CNN and YOLO
- Experienced in hyperparameter tuning, data augmentation, data wrangling, model optimization and model deployment
- B.E./M.E/M.Sc. Computer Science/Engineering or relevant degree
- Dockerization, AWS modules and Production level modelling
- Basic knowledge of the Fundamentals of GIS would be added advantage
Prefered Requirements
- Experience with Qt, Desktop application development, Desktop Automation
- Knowledge on Satellite image processing, Geo-Information System, GDAL, Qgis and ArcGIS
About Datasee.AI:
Datasee>AI, Inc. is an AI driven Image Analytics company offering Asset Management solutions for industries in the sectors of Renewable Energy, Infrastructure, Utilities & Agriculture. With core expertise in Image processing, Computer Vision & Machine Learning, Takvaviya’s solution provides value across the enterprise for all the stakeholders through a data driven approach.
With Sales & Operations based out of US, Europe & India, Datasee.AI is a team of 32 people located across different geographies and with varied domain expertise and interests.
A focused and happy bunch of people who take tasks head-on and build scalable platforms and products.

The recruiter has not been active on this job recently. You may apply but please expect a delayed response.


The Back-end Developer primarily participates in designing and implementing new services as well as participates in customer delivery. It will be possible to influence your work profile based on your interests.
While not mandatory, a generic understanding of user interfaces and being able to position oneself as an end-user is highly desirable. We appreciate also prior knowledge of the Image Processing domain.
We are looking for well-rounded people who care about their craft and understand software development. While we value a formal degree in computer science we do not require one - a candidate with a strong background, open mind and ability to learn would be an ideal addition to our team.
That being said, here is what we think the ideal team member would be:
Responsibilities:
- Develop and Integrate Django backend and API's with frontend framework.
- Working closely with UX and Front-end Developers
- Participating in architectural, design and product development
- Designing and creating RESTful APIs for internal and partner consumption
- Working in an agile environment with an excellent team of engineers.
- Experienced with the Django REST framework
- Good experience of Python coding skills
- Hands on experience on designing and structuring of database most likely ORM (i.e MongoDB)
- Knowledge of how to build and use with RESTful APIs
- Strong knowledge of version control (i.e. git, etc.)
- Experience deploying Python applications into production.
- Working experience on Apache services.
- Knowledge of cloud services is a plus.
Qualification: Engineering from CSE/IT

The recruiter has not been active on this job recently. You may apply but please expect a delayed response.



The FullStack Developer primarily participates in designing and implementing new services as well as participates in customer delivery. It will be possible to influence your work profile based on your interests.
While not mandatory, a generic understanding of user interfaces and being able to position oneself as an end-user is highly desirable. We appreciate also prior knowledge of the Image Processing domain.
We are looking for well-rounded people who care about their craft and understand software development. While we value a formal degree in computer science we do not require one - a candidate with a strong background, open mind and ability to learn would be an ideal addition to our team.
That being said, here is what we think the ideal team member would be:
Responsibilities :
- Develop and Integrate Django backend and API's with frontend framework.
- Develop Angular applications
- Working closely with UX and Front-end Developers
- Participating in architectural, design and product discussions
- Designing and creating RESTful APIs for internal and partner consumption
- Working in an agile environment with an excellent team of engineers
Requirements :
- Good experience developing Angular applications into production
- Good experience with the Django REST framework
- Strong understanding of the Angular framework as well as javascript, jQuery and HTML/CSS
- Good experience on designing and structuring of database most likely ORM (i.e MongoDB)
- Knowledge of how to build and use with RESTful APIs
- Good experience of Python coding skills
- Strong knowledge of version control (i.e. git, svn, etc.)
- Experience deploying Python applications into production
Qualification: Engineering from CSE/IT

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Founded in 2011, Poshmark started with a simple yet powerful idea in Manish Chandra's garage. Along with co-founders Tracy Sun, Gautam Golwala, and Chetan Pungaliya, Chandra envisioned a platform that would revolutionize how people buy and sell fashion. The inspiration came from seeing the potential of the iPhone 4 to create meaningful connections in the shopping experience.
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Poshmark is not just another e-commerce platform – it's a social marketplace that brings together shopping and community. Think of it as a place where social media meets shopping, allowing users to buy, sell, and discover fashion, home goods, and accessories. With over 80 million users , the platform has become a go-to destination for both casual sellers and entrepreneurial individuals looking to build their own digital boutiques.
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