Architect and implement LLM-based agentic systems including the customer support troubleshooting, analytics, and content-generation tools.**
Build RAG pipelines combining structured and unstructured sources (knowledge base, FAQs, policies), optimizing for latency, factuality, and grounding.**
Develop evaluation frameworks (LLM-as-a-judge, human-in-the-loop) to measure helpfulness, factual accuracy, coverage, and coherence.****
Collaborate with product and UX teams to define prompt hierarchies, tool-calling logic, and conversational workflows that handle multi-turn reasoning.**
Drive fine-tuning or parameter-efficient adaptation (LoRA, PEFT) of LLMs for commerce-specific reasoning and multilingual support (Arabic & English).**
Contribute to the GenAI Suite: product description generation, email and blog content creation, landing page design, and brand-aware tone control.**
Lead experimentation on new LLM orchestration frameworks (LangGraph, semantic routers) and scalable deployment using Bedrock, SageMaker, or Vertex AI.**
Mentor junior data scientists and define best practices for versioning, prompt evaluation, and observability (e.g., LangFuse, MLflow, Grafana).
Requirements
Bachelor’s or Master’s degree in Computer Science, Data Science, or a quantitative discipline.**
5+ years of experience in applied ML/NLP, including 2+ years building and deploying LLM-based systems in production.**
Proven impact: Delivered or scaled LLM products serving 100K+ users or handling 1M+ queries per day.**
Technical depth: Solid understanding of transformer architectures, RAG design and optimization, prompt engineering, and LLM evaluation techniques.**
Systems thinking: Experience with distributed systems, async workflows, vector search, and caching strategies for latency-sensitive workloads.**
Commerce awareness: Familiarity with e-commerce metrics, merchant pain points, and marketplace platform dynamics.**
Communication: Comfortable translating complex ML systems into actionable insights for non-technical and leadership stakeholders.
Senior Product Analyst collaborating with teams to develop innovative products at Agência Estado. Key responsibilities include data analysis, market research, and facilitating product management processes.
Data Scientist leveraging statistical methods and machine learning techniques at FUCHS. Focus on data analysis, modeling, and collaboration for data - driven solutions.
Data Science Intern leveraging AI and ML technologies for product development at Seagate. Hands - on experience with data analysis, model development, and actionable insights generation.
Analyst within Credit Risk Management team identifying credit segmentation opportunities using statistical methods. Collaborating with teams to enhance credit decision process and policies.
Data Manager managing and analyzing company data at Amoddex, a consultancy for IT transformation projects. Ensuring data integrity and supporting strategic decision - making in a collaborative environment.
Data Scientist at Capital One on the LLM Customization Team utilizing the latest in computing and machine learning technologies. Collaborating with data scientists and engineers to deliver AI powered products.
Lead Full Stack Data Scientist at Tilt, building the intelligence layer for data - based decisions. Driving data science strategy and analytics to enhance product and growth insights.
Data Scientist focusing on Generative AI applications and engineering problem - solving at Ford. Collaborating with cross - functional teams to innovate and improve technology solutions in the automotive sector.
AI Engineer/Data Scientist in Ford's Global Data Insights & Analytics team. Developing advanced AI/ML solutions and collaborating on cloud - native data products.
Data Scientist transforming customer data into insights that guide strategic decisions for Riachuelo. Collaborating with teams to analyze and visualize data trends for business growth.