2287 Job openings found

3 Opening(s)
3.5 Year(s) To 5.4 Year(s)
15.00 LPA TO 20.00 LPA
Role : Application Developer  Role Description : Design, build and configure applications to meet business process and application requirements.                                                                ...
2 Opening(s)
5.0 Year(s) To 8.0 Year(s)
Not Disclosed by Recruiter
BASIC PURPOSE: The primary responsibilities of the AWS Machine Learning Engineer are to design, develop and deploy Machine learning models using AI/ML technologies within the AWS framework. This role will collaborate closely with the product and software development teams to operationalize these ML solutions for automating key business processes across the ...
1 Opening(s)
2.0 Year(s) To 5.0 Year(s)
10.00 LPA TO 12.00 LPA
About Augrade:At Augrade, our mission is to make AR/VR more accessible & adaptable to how we live, work & play.We"re a wearable tech startup working on AR glasses for B2B industry starting with a niche focus on Architects & interior designers. We enable them to ideate, design & present their ...
1 Opening(s)
3.0 Year(s) To 5.0 Year(s)
Not Disclosed by Recruiter
Position- ML Engineer Role & responsibilities-Requirements and Responsibility? Participate in discovery processes collaborating with key stakeholders to identify businessrequirements and expected outcomes.? Develop Neural Network models for information extraction from mortgage documentsusing Computer Vision and NLP techniques.? Deliver high-quality software based on best practices for data collection, modeling, andsoftware development? Design ...
2 Opening(s)
6.0 Year(s) To 10.0 Year(s)
17.00 LPA TO 20.00 LPA
Develop, maintain, and optimize forecasting Machine Learning (ML) models for better accuracy. Collaborate with other data scientists and data engineers to ensure that specifications are translated into flexible, scalable, and maintainable solutions.   Research and stay abreast of state-of-the-art machine learning technologies.   Follow code standards and best practices.  ...
2 Opening(s)
7.0 Year(s) To 8.0 Year(s)
15.00 LPA TO 20.00 LPA
Develop, maintain, and optimize forecasting Machine Learning (ML) models for better accuracy. Collaborate with other data scientists and data engineers to ensure that specifications are translated into flexible, scalable, and maintainable solutions. Research and stay abreast of state-of-the-art machine learning technologies. Follow code standards and best practices. 7-8 years’ experience in ...
1 Opening(s)
12.0 Year(s) To 15.0 Year(s)
15.00 LPA TO 18.00 LPA
Requirements: Overall 6+ years of work experience in relevant hands on experience handling data driven decisions Experience in various statistical and machine learning models, data mining, unstructured data analytics in corporate or academic research environments Must have strong of programming experience in R/Python Experience in machine learning techniques and algorithms, such as like-Classification, ...
5 Opening(s)
2.0 Year(s) To 5.0 Year(s)
1500000.00 LPA TO 4000000.00 LPA
Experience 2 years to 5 years of experience as Analytics / Business Intelligence / Data Science mandatory Experience in Recommendation Engine for optimizing time spent on the platform. Experience with Big Data querying tools, such as Hive, Pig, and Impala Experience in Spark ML ( Spark Machine Learning) Age 25 - 36 yrs Others Looking for the candidates notice ...
3 Opening(s)
3.0 Year(s) To 9.0 Year(s)
5.00 LPA TO 20.00 LPA
Role :   Application Developer      Role Description :   Design, build and configure applications to meet business process and application requirements.      Must have Skills :   Python Scripting      Good to Have Skills :    Machine Learning      Job Requirements :   1 8-10 years of experience in natural language processing, machine learning, machine reasoning,  2 Computer Vision, knowledge representation and reasoning KRR ...
5 Opening(s)
2.0 Year(s) To 6.0 Year(s)
9.00 LPA TO 18.00 LPA
Collaborate with teams and other developers to design, develop, test, deploy, and maintain chatbot (virtual assistant) Use Artificial Intelligence, NLP technologies, and cognitive machine learning to develop chatbot applications Maintain and enhance chatbot platform to meet changing needs Integrate chatbot solutions with multiple platforms Troubleshoot bots, debug, and deploy chatbots on various channels Refactor or ...

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