Analyze complex, large-scale datasets to uncover patterns, trends, and opportunities that translate into actionable insights and measurable business value
Design, develop, deploy, and maintain predictive models and machine learning solutions supporting business and operational use cases
Build AI-powered applications and AI agents leveraging Large Language Models (LLMs), prompt engineering, retrieval-augmented generation (RAG), orchestration frameworks, and tool integration
Research, evaluate, and prototype emerging AI, machine learning, and agentic technologies and assess their applicability within telecom and networking environments
Develop solutions supporting network operations, automation, incident analysis, anomaly detection, knowledge assistance, customer support, and decision support
Partner closely with cross-functional stakeholders to define use cases, translate requirements, and deliver scalable, production-ready solutions
Define and apply evaluation methods and performance metrics for machine learning and LLM-based systems, including quality, reliability, latency, and business impact

Bachelor’s degree or higher in Computer Science, Data Science, Statistics, Engineering, Physics, or a related quantitative field
Proven experience in a Data Scientist, Machine Learning Engineer, Applied Scientist, or similar role
Strong proficiency in Python and hands-on experience with data science and machine learning libraries
Experience building and deploying machine learning models in production or near-production environments
Practical experience with Large Language Models (LLMs) and generative AI applications, including prompt engineering, model integration, or retrieval-augmented generation (RAG)
Solid understanding of AI agent concepts including orchestration, tool use, planning, memory, guardrails, and human-in-the-loop approaches
Strong foundation in data structures, software design, system architecture, and analytical problem-solving

Data Scientist – AI Agents, Advanced Analytics

Key skills