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| Job Location | Gurgaon / Gurugram |
| Education | Not Mentioned |
| Salary | Not Mentioned |
| Industry | IT / Computers - Software |
| Functional Area | IT |
| EmploymentType | Full-time |
AI Engineer (MLOps, Transformer, Knowledge Graphs)Responsibilities:Design, develop, and deploy scalable and efficient machine learning models and algorithms.Collaborate with cross-functional teams to identify business needs and translate them into AI solutions.Implement MLOps practices to ensure robust and reproducible model training, deployment, and monitoring.Should have hand on experience in Airflow In-depth understanding of the Transformer architecture, with hands-on experience using Google T5 Proficiency in designing and working with Knowledge Graphs, preferably using Neo4j (N4J).Utilize Postgres to store and manage large-scale datasets, ensuring data integrity and performance.Write clean, maintainable, and efficient code in Python for AI model development and integration into existing systems.Experience with cloud platforms such as AWS.Must Have Skills :MLOPS, Graph Database NE04J, AI, Transformer Google T5, Airflow, Python, AWS
Keyskills :
PhytonMachine LearningCloudAirflowTransportation