Data Science for News Service

Job Description

• Master’s degree in Computer Science, Data Science, Applied Mathematics, or a related field.
• 8+ years of professional experience in machine learning, data science, or AI engineering.
• Proven experience as a technical lead or solution architect for ML/AI projects, with accountability for end-to-end delivery in a production environment.
• Strong proficiency in Python and the modern ML/AI ecosystem (e.g., PyTorch, Hugging Face, LangChain/LangGraph, Scikit-learn).
• Hands-on experience with data ingestion, RAG pipeline optimization, model evaluation, deployment (MLOps), and monitoring.
• Deep understanding of generative AI (LLMs, embeddings, RAG, prompt engineering, and agentic reasoning) and its practical constraints (latency, cost, safety, hallucinations).
• Experience turning complex business needs into "machine-ready" technical specifications and acceptance criteria.
• Strong experience with major cloud platforms; hands-on knowledge of AWS (e.g., Amazon Bedrock, SageMaker) or GCP (e.g., Vertex AI) is highly desirable.
• Evidence of using modern GenAI tools (Claude Code, GitHub Copilot, etc.) to significantly accelerate your development and testing process.

Job Responsibilities

Advanced Recommendation Modeling: Design and deploy recommendation algorithms that account for time-decay, breaking news signals, and short-term user intent, distinguishing them from long-term preference models used in streaming.
Generative AI Integration: Lead the development and integration of Gen AI and LLM-based models to enhance content summarization, semantic search, and personalized news briefings.
Signal Processing: Engineer complex feature sets that weigh recency, topic sensitivity, and contextual relevance (e.g., differentiating between a user following a specific stock ticker vs. a general sector interest).
Model Lifecycle Management: Own the end-to-end lifecycle of ML models, from hypothesis and training to A/B testing, deployment, and monitoring in a high