Computer Scientist Jobs in Pānīpat
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Search Results - Computer Scientist Jobs in Pānīpat
Battery Smart-Pānīpat-
Role Overview:
We are looking for a Lead Data Scientist / Applied AI Lead to lead Battery Smart’s Data Science, Machine Learning and Applied AI charter. This is a mid-level leadership role responsible for managing a team of Data Scientists...
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Battery Smart-Pānīpat-
Role Overview:
We are looking for a Lead Data Scientist / Applied AI Lead to lead Battery Smart’s Data Science, Machine Learning and Applied AI charter. This is a mid-level leadership role responsible for managing a team of Data Scientists...
Read more
Incedo Inc.-Pānīpat-
Generative AI, you drive the design, development and deployment of machine learning, deep learning and generative AI solutions across Incedo’s platforms and client programmes.
You work alongside data scientists, data engineers and business stakeholders...
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Incedo Inc.-Pānīpat-
Generative AI, you drive the design, development and deployment of machine learning, deep learning and generative AI solutions across Incedo’s platforms and client programmes.
You work alongside data scientists, data engineers and business stakeholders...
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EXL-Pānīpat-
deeply into their business processes.
Our global footprint of nearly 2,000 data scientists and analysts assist client organizations with complex risk minimization methods, advanced marketing, pricing and CRM strategies, internal cost analysis, and cost...
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VARITE INC-Pānīpat-
ML solutions that ensure the reliability, scalability, and efficiency of machine learning workloads in production.
• Collaborate closely with data scientists, data engineers, and software engineers to operationalize ML models and optimize MLOps...
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EXL-Pānīpat-
deeply into their business processes.
Our global footprint of nearly 2,000 data scientists and analysts assist client organizations with complex risk minimization methods, advanced marketing, pricing and CRM strategies, internal cost analysis, and cost...
Read more
VARITE INC-Pānīpat-
ML solutions that ensure the reliability, scalability, and efficiency of machine learning workloads in production.
• Collaborate closely with data scientists, data engineers, and software engineers to operationalize ML models and optimize MLOps...
Read more
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