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3+ Image segmentation Jobs in India

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Orboai

at Orboai

4 recruiters
Hardika Bhansali
Posted by Hardika Bhansali
Noida, Mumbai
1 - 3 yrs
₹6L - ₹15L / yr
TensorFlow
OpenCV
OCR
PyTorch
Keras
+10 more

Who Are We

 

A research-oriented company with expertise in computer vision and artificial intelligence, at its core, Orbo is a comprehensive platform of AI-based visual enhancement stack. This way, companies can find a suitable product as per their need where deep learning powered technology can automatically improve their Imagery.

 

ORBO's solutions are helping BFSI, beauty and personal care digital transformation and Ecommerce image retouching industries in multiple ways.

 

WHY US

  • Join top AI company
  • Grow with your best companions
  • Continuous pursuit of excellence, equality, respect
  • Competitive compensation and benefits

You'll be a part of the core team and will be working directly with the founders in building and iterating upon the core products that make cameras intelligent and images more informative.

 

To learn more about how we work, please check out

https://www.orbo.ai/.

 

Description:

We are looking for a computer vision engineer to lead our team in developing a factory floor analytics SaaS product. This would be a fast-paced role and the person will get an opportunity to develop an industrial grade solution from concept to deployment.

 

Responsibilities:

  • Research and develop computer vision solutions for industries (BFSI, Beauty and personal care, E-commerce, Defence etc.)
  • Lead a team of ML engineers in developing an industrial AI product from scratch
  • Setup end-end Deep Learning pipeline for data ingestion, preparation, model training, validation and deployment
  • Tune the models to achieve high accuracy rates and minimum latency
  • Deploying developed computer vision models on edge devices after optimization to meet customer requirements

 

 

Requirements:

  • Bachelor’s degree
  • Understanding about depth and breadth of computer vision and deep learning algorithms.
  • Experience in taking an AI product from scratch to commercial deployment.
  • Experience in Image enhancement, object detection, image segmentation, image classification algorithms
  • Experience in deployment with OpenVINO, ONNXruntime and TensorRT
  • Experience in deploying computer vision solutions on edge devices such as Intel Movidius and Nvidia Jetson
  • Experience with any machine/deep learning frameworks like Tensorflow, and PyTorch.
  • Proficient understanding of code versioning tools, such as Git

Our perfect candidate is someone that:

  • is proactive and an independent problem solver
  • is a constant learner. We are a fast growing start-up. We want you to grow with us!
  • is a team player and good communicator

 

What We Offer:

  • You will have fun working with a fast-paced team on a product that can impact the business model of E-commerce and BFSI industries. As the team is small, you will easily be able to see a direct impact of what you build on our customers (Trust us - it is extremely fulfilling!)
  • You will be in charge of what you build and be an integral part of the product development process
  • Technical and financial growth!
Read more
Orboai

at Orboai

4 recruiters
Neha T
Posted by Neha T
Mumbai, Delhi
4 - 7 yrs
₹8L - ₹22L / yr
OpenCV
Image Processing
Image segmentation
skill iconDeep Learning
skill iconPython
+7 more

Who Are We

 

A research-oriented company with expertise in computer vision and artificial intelligence, at its core, Orbo is a comprehensive platform of AI-based visual enhancement stack. This way, companies can find a suitable product as per their need where deep learning powered technology can automatically improve their Imagery.

 

ORBO's solutions are helping BFSI, beauty and personal care digital transformation and Ecommerce image retouching industries in multiple ways.

 

WHY US

  • Join top AI company
  • Grow with your best companions
  • Continuous pursuit of excellence, equality, respect
  • Competitive compensation and benefits

You'll be a part of the core team and will be working directly with the founders in building and iterating upon the core products that make cameras intelligent and images more informative.

 

To learn more about how we work, please check out

https://www.orbo.ai/.

 

Description:

We are looking for a computer vision engineer to lead our team in developing a factory floor analytics SaaS product. This would be a fast-paced role and the person will get an opportunity to develop an industrial grade solution from concept to deployment.

 

Responsibilities:

  • Research and develop computer vision solutions for industries (BFSI, Beauty and personal care, E-commerce, Defence etc.)
  • Lead a team of ML engineers in developing an industrial AI product from scratch
  • Setup end-end Deep Learning pipeline for data ingestion, preparation, model training, validation and deployment
  • Tune the models to achieve high accuracy rates and minimum latency
  • Deploying developed computer vision models on edge devices after optimization to meet customer requirements

 

 

Requirements:

  • Bachelor’s degree
  • Understanding about depth and breadth of computer vision and deep learning algorithms.
  • 4+ years of industrial experience in computer vision and/or deep learning
  • Experience in taking an AI product from scratch to commercial deployment.
  • Experience in Image enhancement, object detection, image segmentation, image classification algorithms
  • Experience in deployment with OpenVINO, ONNXruntime and TensorRT
  • Experience in deploying computer vision solutions on edge devices such as Intel Movidius and Nvidia Jetson
  • Experience with any machine/deep learning frameworks like Tensorflow, and PyTorch.
  • Proficient understanding of code versioning tools, such as Git

Our perfect candidate is someone that:

  • is proactive and an independent problem solver
  • is a constant learner. We are a fast growing start-up. We want you to grow with us!
  • is a team player and good communicator

 

What We Offer:

  • You will have fun working with a fast-paced team on a product that can impact the business model of E-commerce and BFSI industries. As the team is small, you will easily be able to see a direct impact of what you build on our customers (Trust us - it is extremely fulfilling!)
  • You will be in charge of what you build and be an integral part of the product development process
  • Technical and financial growth!
Read more
Carsome

at Carsome

3 recruiters
Amit Warrier
Posted by Amit Warrier
Remote, Malaysia, Kuala Lumpur
1 - 6 yrs
₹10L - ₹30L / yr
skill iconMachine Learning (ML)
skill iconData Science
SQL
skill iconPython
Problem solving
+6 more

Carsome’s Data Department is on the lookout for a Data Scientist/Data Science Lead who has a strong passion in building data powered products.

 

Data Science function under the Data Department has a responsibility for standardisation of methods, mentoring team of data science resources/interns, including code libraries and documentation, quality assurance of outputs, modeling techniques and statistics, leveraging a variety of technologies, open-source languages, and cloud computing platform. 

 

You will get to lead & implement projects such as price optimization/prediction, enabling iconic personalization experiences for our customer, inventory optimization etc.

 

Job Descriptions

 

  • Identifying and integrating datasets that can be leveraged through our product and work closely with data engineering team to develop data products.
  • Execute analytical experiments methodically to help solve various problems and make a true impact across functions such as operations, finance, logistics, marketing. 
  • Identify, prioritize, and design testing opportunities that will inform algorithm enhancements. 
  • Devise and utilize algorithms and models to mine big data stores, perform data and error analysis to improve models and clean and validate data for uniformity and accuracy.
  • Unlock insights by analyzing large amounts of complex website traffic and transactional data. 
  • Implement analytical models into production by collaborating with data analytics engineers.

 

Technical Requirements

 

  • Expertise in model design, training, evaluation, and implementation ML Algorithm expertise K-nearest neighbors, Random Forests, Naive Bayes, Regression Models. PyTorch, TensorFlow, Keras, deep learning expertise, tSNE, gradient boosting expertise, regression implementation expertise, Python, Pyspark, SQL, R, AWS Sagemaker /personalize etc.
  • Machine Learning / Data Science Certification

 

Experience & Education 

 

  • Bachelor’s in Engineering / Master’s in Data Science  / Postgraduate Certificate in Data Science. 
Read more
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