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Keras Jobs in Delhi, NCR and Gurgaon

7+ Keras Jobs in Delhi, NCR and Gurgaon | Keras Job openings in Delhi, NCR and Gurgaon

Apply to 7+ Keras Jobs in Delhi, NCR and Gurgaon on CutShort.io. Explore the latest Keras Job opportunities across top companies like Google, Amazon & Adobe.

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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
Deep Learning
Python
+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
Orboai

at Orboai

4 recruiters
Hardika Bhansali
Posted by Hardika Bhansali
Mumbai, Noida
2 - 5 yrs
₹6L - ₹20L / yr
Machine Learning (ML)
Data Science
Computer Vision
Deep Learning
OpenCV
+6 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
Oil & Energy Industry
NCR (Delhi | Gurgaon | Noida)
1 - 3 yrs
₹8L - ₹12L / yr
Machine Learning (ML)
Data Science
Deep Learning
Digital Signal Processing
Statistical signal processing
+6 more
Understanding business objectives and developing models that help to achieve them,
along with metrics to track their progress
Managing available resources such as hardware, data, and personnel so that deadlines
are met
Analysing the ML algorithms that could be used to solve a given problem and ranking
them by their success probability
Exploring and visualizing data to gain an understanding of it, then identifying
differences in data distribution that could affect performance when deploying the model
in the real world
Verifying data quality, and/or ensuring it via data cleaning
Supervising the data acquisition process if more data is needed
Defining validation strategies
Defining the pre-processing or feature engineering to be done on a given dataset
Defining data augmentation pipelines
Training models and tuning their hyper parameters
Analysing the errors of the model and designing strategies to overcome them
Deploying models to production
Read more
One Labs

at One Labs

1 recruiter
Rahul Gupta
Posted by Rahul Gupta
NCR (Delhi | Gurgaon | Noida)
1 - 3 yrs
₹3L - ₹6L / yr
Data Science
Deep Learning
Python
Keras
TensorFlow
+1 more

Job Description


We are looking for a data scientist that will help us to discover the information hidden in vast amounts of data, and help us make smarter decisions to deliver even better products. Your primary focus will be in applying data mining techniques, doing statistical analysis, and building high quality prediction systems integrated with our products. 

Responsibilities

  • Selecting features, building and optimizing classifiers using machine learning techniques
  • Data mining using state-of-the-art methods
  • Extending company’s data with third party sources of information when needed
  • Enhancing data collection procedures to include information that is relevant for building analytic systems
  • Processing, cleansing, and verifying the integrity of data used for analysis
  • Doing ad-hoc analysis and presenting results in a clear manner
  • Creating automated anomaly detection systems and constant tracking of its performance

Skills and Qualifications

  • Excellent understanding of machine learning techniques and algorithms, such as Linear regression, SVM, Decision Forests, LSTM, CNN etc.
  • Experience with Deep Learning preferred.
  • Experience with common data science toolkits, such as R, NumPy, MatLab, etc. Excellence in at least one of these is highly desirable
  • Great communication skills
  • Proficiency in using query languages such as SQL, Hive, Pig 
  • Good applied statistics skills, such as statistical testing, regression, etc.
  • Good scripting and programming skills 
  • Data-oriented personality
Read more
Number Theory

at Number Theory

3 recruiters
Tarun Gulyani
Posted by Tarun Gulyani
NCR (Delhi | Gurgaon | Noida)
1 - 7 yrs
₹20L - ₹35L / yr
Deep Learning
OpenCV
Data Science
Keras
TensorFlow
+1 more
We are looking for Smart Deep learning Computer Vision Data Scientist. Phd person is preferable.
Read more
Precily Private Limited

at Precily Private Limited

5 recruiters
Ashish Gupta (Precily)
Posted by Ashish Gupta (Precily)
NCR (Delhi | Gurgaon | Noida)
2 - 7 yrs
₹4L - ₹9L / yr
Deep Learning
Machine Learning (ML)
Natural Language Processing (NLP)
Artificial Intelligence (AI)
Python
+2 more
Company Profile : Precily AI is a startup headquartered in Delhi NCR. Precily is currently working with leading consulting & law firms, research firms & technology companies. Aura (Precily AI) is a data- analysis platform for enterprises that increase the efficiency of the workforce by providing AI- based solutions. Responsibilities & Skills Required : The role requires deep knowledge in designing, planning, testing and deploying analytics solutions including the following : 1) Natural Language Processing (NLP), Neural Networks, Text Clustering, Topic Modelling, Information Extraction, Information Retrieval, Deep learning, Machine learning, cognitive science, and analytics. 2) Proven experience implementing and deploying advanced AI solutions using R/Python. 3) Apply machine learning algorithms, statistical data analysis, text clustering, summarization, extracting insights from multiple data points. 4) Excellent understanding of Analytics concepts and methodologies including machine learning (unsupervised and supervised). 5) Hand on in handling large amounts of structured and unstructured data. 6) The measure, interpret and derive learning from results of the analysis that will lead to improvements document processing. Skills Required : 1) Python, R, NLP, NLG, Machine Learning, Deep Learning & Neural Networks 2) Word Vectorizers 3) Word Embeddings ( word2vec & GloVe ) 4) RNN ( CNN vs RNN ) 5) LSTM & GRU ( LSTM vs GRU ) 6) Pretrained Embeddings ( Implementation in RNN ) 7) Unsupervised Learning 8) Supervised Learning 9) Deep Neural Networks 10) Framework: Keras/Tensor flow 11) Keras Embedding Layer output
Read more
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