Top Skills:
Data ExtractionData AnalysisMachine LearningProgrammingData SciencePythonDebuggingSqlComputer ScienceDeep LearningAiAppraisalData AnalysisData ExtractionDeep LearningMachine LearningPipelinePythonPytorchReinforcement LearningSqlTensorflow
Role Summary
Responsible for participating in the evolution and execution of procedures for ensuring the quality of new features and releases of software products. Debugs software products through the use of systematic tests to develop, apply, and maintain quality standards for company products. Develops, modifies, and executes software test plans, automated scripts and programs for testing. Analyzes and writes test standards and procedures. Maintains documentation of test results to assist in debugging and modification of software. Analyzes test results to ensure existing functionality and recommends corrective action. Consults with development engineers in resolution of problems. Provides feedback in preparation of technical appraisals of programming languages, systems, and computation software.
Key Responsibilities
- Design and build Agentic AI systems/applications using SOTA agentic frameworks (e.g., LangGraph, LangChain, or equivalent orchestrators).
- Develop robust data extraction and aggregation pipelines and perform advanced data analysis.
- Build, train, and evaluate state-of-the-art AI models , spanning classical ML, deep learning, reinforcement learning, and generative AI (LLM/SLM fine-tuning).
- Architect and implement end-to-end ML pipeline infrastructure for scalable deployment of models.
Job Requirements
- Strong expertise in Python, PyTorch, and SQL .
- Solid foundation in Machine Learning (classical methods), Deep Learning, and Reinforcement Learning .
- Excellent knowledge of data science and statistical concepts .
- Proven experience in building ML models using TensorFlow and PyTorch frameworks.
- Hands-on expertise in developing Agentic AI applications using LangGraph, LangChain, or other state-of-the-art agent orchestrator frameworks.
- Educational Qualification: B.Tech, M.Tech, or Ph.D. in AI/Data Science/Computer Science .
- Minimum 3 5 years of experience in the above areas
Accessibility
Mavenir is an Equal Employment Opportunity (EEO) employer and welcomes qualified applicants from around the world, regardless of their ethnicity, gender, religion, nationality, age, disability, or other legally protected status.
Disclaimer : This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.
Data Scientist Agentic AI Systems
Mavenir
naukri
Bengaluru
3-5 years Not Disclosed
Full time
01 May 2026
Top Skills:
Data ExtractionData AnalysisMachine LearningProgrammingData SciencePythonDebuggingSqlComputer ScienceDeep LearningAiAppraisalData AnalysisData ExtractionDeep LearningMachine LearningPipelinePythonPytorchReinforcement LearningSqlTensorflow
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Job Description
Download Resume Role Summary
Responsible for participating in the evolution and execution of procedures for ensuring the quality of new features and releases of software products. Debugs software products through the use of systematic tests to develop, apply, and maintain quality standards for company products. Develops, modifies, and executes software test plans, automated scripts and programs for testing. Analyzes and writes test standards and procedures. Maintains documentation of test results to assist in debugging and modification of software. Analyzes test results to ensure existing functionality and recommends corrective action. Consults with development engineers in resolution of problems. Provides feedback in preparation of technical appraisals of programming languages, systems, and computation software.
Key Responsibilities
- Design and build Agentic AI systems/applications using SOTA agentic frameworks (e.g., LangGraph, LangChain, or equivalent orchestrators).
- Develop robust data extraction and aggregation pipelines and perform advanced data analysis.
- Build, train, and evaluate state-of-the-art AI models , spanning classical ML, deep learning, reinforcement learning, and generative AI (LLM/SLM fine-tuning).
- Architect and implement end-to-end ML pipeline infrastructure for scalable deployment of models.
Job Requirements
- Strong expertise in Python, PyTorch, and SQL .
- Solid foundation in Machine Learning (classical methods), Deep Learning, and Reinforcement Learning .
- Excellent knowledge of data science and statistical concepts .
- Proven experience in building ML models using TensorFlow and PyTorch frameworks.
- Hands-on expertise in developing Agentic AI applications using LangGraph, LangChain, or other state-of-the-art agent orchestrator frameworks.
- Educational Qualification: B.Tech, M.Tech, or Ph.D. in AI/Data Science/Computer Science .
- Minimum 3 5 years of experience in the above areas
Accessibility
Mavenir is an Equal Employment Opportunity (EEO) employer and welcomes qualified applicants from around the world, regardless of their ethnicity, gender, religion, nationality, age, disability, or other legally protected status.
Disclaimer : This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.