Jeevan Technologies (a Nobl Q company)
B2B • Enterprise • Artificial Intelligence
Jeevan Technologies (a Nobl Q company) is a digital transformation and enterprise technology consultancy that helps mid-market and enterprise clients modernize ERP, cloud and application landscapes. It provides advisory and professional services (technology and business-process advisory, product design and business value assessment), platform implementations (SAP, Oracle, Salesforce, Microsoft, ServiceNow), custom development (front-end, back-end, enterprise integration), embedded & IoT engineering, data management, and AI/machine-learning solutions, plus managed services to automate operations and deliver industry-specific solutions.
Data Science Developer
Job not on LinkedIn
October 9
Jeevan Technologies (a Nobl Q company)
B2B • Enterprise • Artificial Intelligence
Jeevan Technologies (a Nobl Q company) is a digital transformation and enterprise technology consultancy that helps mid-market and enterprise clients modernize ERP, cloud and application landscapes. It provides advisory and professional services (technology and business-process advisory, product design and business value assessment), platform implementations (SAP, Oracle, Salesforce, Microsoft, ServiceNow), custom development (front-end, back-end, enterprise integration), embedded & IoT engineering, data management, and AI/machine-learning solutions, plus managed services to automate operations and deliver industry-specific solutions.
📋 Description
• Develop and optimize machine learning or deep learning models using PyTorch or TensorFlow. • Collaborate with cross-functional teams to implement solutions in large-scale distributed computing environments. • Contribute to research and development efforts related to emerging technologies in AI, including graph-based machine learning.
🎯 Requirements
• Minimum of 3-5 years of hands-on experience building ML/DL models using PyTorch or TensorFlow. • Strong proficiency in Python programming, with experience in distributed computing engines such as Apache Spark. • Preferred: Familiarity with graph databases, cybersecurity concepts, or libraries such as PyTorch Geometric.
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