Sr. Data Scientist

at Claim Genius

Sr. Data Scientist

Claim Genius

Company

Home

Sr. Data Scientist

at Claim Genius

Posted by KalyaniMuley

3 - 10 yrs

₹5L - ₹25L / yr

Nagpur, Hyderabad

Skills

Data Science

Deep Learning

Python

Image Processing

CNN

Convolution neural network

OpenCV

Responsibilities:

The Machine & Deep Machine Learning Software Engineer (Expertise in Computer Vision) will be an early member of a growing team with responsibilities for designing and developing highly scalable machine learning solutions that impact many areas of our business.
The individual in this role will help in the design and development of Neural Network (especially Convolution Neural Networks) & ML solutions based on our reference architecture which is underpinned by big data & cloud technology, micro-service architecture and high performing compute infrastructure.
Typical daily activities include contributing to all phases of algorithm development including ideation, prototyping, design, and development production implementation.

Required Skills:

An ideal candidate will have a background in software engineering and data science with expertise in machine learning algorithms, statistical analysis tools, and distributed systems.
Experience in building machine learning applications, and broad knowledge of machine learning APIs, tools, and open-source libraries
Strong coding skills and fundamentals in data structures, predictive modeling, and big data concepts
Experience in designing full stack ML solutions in a distributed computing environment
Experience working with Python, Tensor Flow, Kera’s, Sci-kit, pandas, NumPy, AZURE, AWS GPU
Excellent communication skills with multiple levels of the organization
Image CNN, Image processing, MRCNN, FRCNN experience is a must.

Responsibilities:

The Machine & Deep Machine Learning Software Engineer (Expertise in Computer Vision) will be an early member of a growing team with responsibilities for designing and developing highly scalable machine learning solutions that impact many areas of our business.
The individual in this role will help in the design and development of Neural Network (especially Convolution Neural Networks) & ML solutions based on our reference architecture which is underpinned by big data & cloud technology, micro-service architecture and high performing compute infrastructure.
Typical daily activities include contributing to all phases of algorithm development including ideation, prototyping, design, and development production implementation.

Required Skills:

An ideal candidate will have a background in software engineering and data science with expertise in machine learning algorithms, statistical analysis tools, and distributed systems.
Experience in building machine learning applications, and broad knowledge of machine learning APIs, tools, and open-source libraries
Strong coding skills and fundamentals in data structures, predictive modeling, and big data concepts
Experience in designing full stack ML solutions in a distributed computing environment
Experience working with Python, Tensor Flow, Kera’s, Sci-kit, pandas, NumPy, AZURE, AWS GPU
Excellent communication skills with multiple levels of the organization
Image CNN, Image processing, MRCNN, FRCNN experience is a must.

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About Claim Genius

Founded :

2017

Type :

Services

Size

Stage :

Raised funding

About

At Claim Genius, our goal is to revolutionize the speed and efficiency of the auto claims and salvage industries through the use of artificial intelligence technology. Our patent pending GENIUS suite provides insurance carriers, auto salvage firms, and recyclers with the world’s first integrated AI damage estimation platform. Using our advanced image analysis and predictive analytics tools: • Carriers can provide instant damage estimates and processing of claims based on uploaded accident photos from our easy to use Genius APP, reducing cycle time and expenses by over 50%

KalyaniMuley

Connect

Company social profiles

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Web: http://www.theappideas.com/">www.http://www.theappideas.com/">theappideas.com

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