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AWS Azure Python C++ Good Oral And Written Communication Skills Data Scientist Archi
 
Requirement id 101172
Job title Architect
Job location in New York, NY
Skills required Big Data, AWS, Azure, Python C++ Good Oral And Written Communi
Open Date 12-Dec-2019
Close Date
Job type Contract
Duration 12 Months
Compensation DOE
Status requirement ---
Job interview type ---
   Email Recruiter: coolsoft
Job Description Architect: Big Data, AWS, Azure, Python C++ Good Oral And Written Communi

Responsibilities

Genpact – 2767 PVAI -

Big Data Architect III NYC Virtual

Location - New York –Virtual

Count of Resource: 1

Duration: 6 Months

Max Bill: $100-130 depending on skillset

• Sr level experience as Data Scientist

• Develops cutting-edge algorithms and solutions for an industry disrupting product in the insurance industry

• Plays a critical role in guiding the data science team on effectively developing models

• Stays up-to-date on current trends and state-of-the-art in the field of deep learning and computer vision and educates junior data scientist

• Leverages research and applies state-of-the-art deep learning techniques to inform recommendations and decisions

• Works closely across different functions of the product team (engineering function, architecture function, business function, sales functions, etc.) to identify and incubate business cases

Job Qualifications

• Ph.D. in Computer Science, Statistics, Mathematics, or other related field

• Strong experience developing computer vision algorithms/models (image registration, thresholding, camera calibration, keypoint extraction, etc.) with state of the art deep learning frameworks

• Mastery of a wide variety of programming languages (Python, C++, etc.) and frameworks (TensorFlow, Keras, Caffe, Torch, etc.), demonstrating strong skills in the development, articulation and implementation of coding practices for the team

• Demonstrated experience working with large, complex datasets using big data technologies and script language

• Experience on cloud platform such as AWS, AZURE, etc.

• Familiarity with version control systems

• Ability to turn research into industrial production

• Experience on 3D modeling from 2D images is a plus

Supplier notes:

Genpact Launches an Artificial Intelligence (AI)-Based Solution to Usher in a New Era of Drug Safety Automation. Genpacts new Pharmacovigilance Artificial Intelligence (“PVAI”) solution promises to transform drug safety data management and reporting

NEW YORK, June 12, 2017 – Genpact (NYSE: G), a global professional services firm focused on delivering digital transformation for clients, is investing in leading digital technologies that are transforming industries. Genpacts PVAI will be the life sciences industrys first fully-integrated, end-to-end adverse event (AE) processing solution, leveraging intelligent automation to not only dramatically reduce the effort of processing adverse events, but also to enable an AI-driven level of real-time predictive analytics and actionable insight not previously possible.

As life sciences companies face escalating AE volumes for their products and increasing pressure to improve quality and compliance while reducing costs, they are looking for breakthrough solutions to help them transform their pharmacovigilance operations. Genpacts PVAI offering brings together and integrates optical character recognition, robotic process automation, natural language processing, and machine learning technologies to automatically extract and code AE data from unstructured and semi-structured source documents – eliminating manual workflow, saving pharmaceutical companies significant time and resources, and helping to establish a scalable PV operating model. Most importantly, the solution continuously builds predictive insights as more and more AE goes through it over time.

"Industry leaders have stated that the current manually-intensive approach to AE processing is simply not sustainable and needs an innovative approach. Through robust pilot testing with clients, our new PVAI solution has proven that the vast majority of case processing can be successfully automated in a fraction of the time and cost," said Balkrishan BK Ka
 
Call 502-379-4456 Ext 100 for more details. Please provide Requirement id: 101172 while calling.
 
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(Architect: Big Data, AWS, Azure, Python C++ Good Oral And Written Communi in New York, NY)
     
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