Tasks:
- * Apply data analysis and data modeling techniques
- * Apply prompt engineering techniques
- * Collect, analyze, and interpret data from multiple sources
- * Design and maintain data structures and workflows
- * Develop intelligent automation solutions
- * Develop, train, test, and optimize AI/ML models
- * Document technical findings, solution designs, and best practices
- * Evaluate emerging AI technologies and tools
- * Integrate AI services, APIs, and data pipelines into business processes and applications
- * Participate in proof-of-concepts and experimentation
Perks/Benefits:
- + Free parking
- + Global internal job opportunities
- + Global working exposure
- + Hybrid work arrangements
- + Modern offices
Skills/Tech stack required:
[AI model] [AI model development] [AI Model Optimization] [AI Model Testing] [AI Model Training] [AI Services] [API Integration] [Artificial Intelligence] [Azure AI] [Azure AI Services] [Data Analysis] [Data Modeling] [Data Pipelines] [Generative AI] [Intelligent Automation] [Langchain] [Language Models (LLMs)] [Large Language Models] [Large Language Models (LLMs)] [Machine Learning] [Model Development] [Model Optimization] [Model Testing] [Model Training] [OpenAI] [Problem Solving] [Prompt engineering] [Python]
Educational requirements:
[Bachelor's Degree]
Role(s):
[AI Engineer] [AI Engineer Intern] [Engineer Intern] [Intern] [Machine Learning Engineer] [Machine Learning Engineer Intern]