Junior Structural Engineer - Analytics / KPO / Research

Informatica India
Applicants0
Posted24 days ago

Job Highlights

Experience2 - 4 Yrs
Salary6-11 LPA
LocationVijayawada
Work ModelOnsite
RoleStructural Engineer
Openings3
EmploymentInternship
EducationMBBS

Required Skills

Large Language Models (LLMs)PythonRData AnalysisStatistical ModelingMachine LearningData VisualizationSQLProblem-SolvingAnalytical ThinkingCommunication SkillsTeamworkKPO OperationsResearch Methodologies

Job Description

Role Summary:
We are seeking a highly analytical and detail-oriented Junior Structural Engineer with a unique LLM background to join our dynamic team in Vijayawada. This role will involve applying advanced analytical techniques and large language model insights to structural data analysis within the KPO/Research sector. You will contribute to complex projects, leveraging your interdisciplinary skills to derive meaningful insights and support strategic decision-making.

Key Responsibilities:

Analyze and interpret large datasets using statistical methods and LLM-based techniques.
Develop and implement models for structural data analysis, predictive modeling, and pattern recognition.
Collaborate with cross-functional teams to understand business requirements and translate them into analytical solutions.
Generate reports, visualizations, and presentations to communicate findings to stakeholders.
Contribute to the research and development of new analytical methodologies and tools.
Ensure data integrity, accuracy, and compliance with industry standards.
Adapt and apply LLM capabilities to novel structural engineering problems in the analytics domain.
Assist in the design and execution of research projects related to structural data insights.

About Informatica India

Informatica India is the Indian arm of Informatica, a global leader in enterprise cloud data management. Established to cater to the growing data needs of Indian businesses, Informatica India provides a comprehensive suite of data management solutions. They empower organizations to unlock the full potential of their data, driving business growth and innovation through advanced analytics, AI, and machine learning capabilities. Their services span data integration, data quality, master data management, and data governance, serving a wide range of industries.

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