2 Opening(s)
5.0 Year(s) To 7.0 Year(s)
8.00 LPA TO 16.00 LPA
Responsibilities:
ML model development.
Graph Analytics.
Data/Semantic modeling.
Graph databases.
Research and develop statistical learning models for data analysis.
Collaborate with product management and engineering departments to understand company needs and devise possible solutions.
Keep up-to-date with the latest technology trends.
Communicate results and ideas to key decision makers.
Implement new statistical or other mathematical methodologies as needed for ...
2 Opening(s)
4.0 Year(s) To 6.0 Year(s)
10.00 LPA TO 18.00 LPA
Responsibilities:
Production pipeline development/deployment.
DevOps tools.
Automation/Orchestration.
Release management.
Model Testing.
Environment Security.
Performance Testing.
Data governance.
Design the data pipelines and engineering infrastructure
Take offline models data scientists to build and turn them into a real machine learning production system.
Identify and evaluate new technologies to improve the performance, maintainability, and reliability of our client's machine learning systems.
Apply software engineering ...