11/12/2026 updated
PG
not available
info: not available until 12/06/2026
Principal AI/ML Engineer & Architect (LLM, RAG, MLOps)
Vila Nova de Gaia / Porto, Portugal
Only remote
MSc Data Analytics, University of Porto – FEP (2015–2017, Grade: 18/20)About me
Data and ML leader with 15 years of experience, including 8 years leading teams. Currently Data Science Lead / Principal AI Engineer at Jumia, building production AI/ML, LLM/RAG, and MLOps solutions.
RAGAmazon Web ServicesPython (Programming Language)Machine LearningNatural Language ProcessingData SciencePyTorchLarge Language ModelsDeep LearningGenerative AIMachine Learning Operations
Generative AI & Large Language Models
Expertise in building and fine-tuning LLM-based systems using LangChain, LlamaIndex, OpenAI API, Anthropic Claude, Amazon Bedrock, RAG Pipelines, AI Agents, Pinecone, FAISS, and Weaviate for production-grade applications.
MLOps & Cloud Architecture on AWS
Deep knowledge in establishing end-to-end MLOps infrastructure including feature stores, model registries, automated retraining, A/B testing, CI/CD pipelines using AWS SageMaker, Lambda, S3, EC2, ECS, Glue, Redshift, Terraform, MLflow, Docker, Kubernetes, and Airflow.
Machine Learning & Modeling
Strong background in building recommendation systems, dynamic pricing models, demand forecasting (LSTM + XGBoost ensemble), search ranking (LTR/LambdaMART), NLP, churn prediction, and CLV models using PyTorch, Scikit-learn, XGBoost, LightGBM, and more.
Data Analytics & Business Intelligence
Proficiency in Python, SQL/PL-SQL, Spark, Hive, dbt, Power BI, Pandas, and NumPy for large-scale data analysis, KPI reporting, and decision support systems.
Predictive Analytics & Statistical Modeling
Experience delivering regression, clustering, classification, and forecasting models for retail, e-commerce, and enterprise clients using SAS, R, RapidMiner, KNIME, and Hadoop/Hive.
Technical Leadership & Roadmap Management
Proven ability to lead and mentor data science teams, define technical roadmaps, drive cross-functional collaboration, and present strategic recommendations to C-suite stakeholders using Agile/Scrum methodologies.
CRM Analytics & Marketing Optimization
Design and execution of targeted marketing campaign models, CRM analytics, sales forecasting, and acquisition cost reduction using SQL, Excel, R, and Spark.
Systems & Software Engineering
Background in designing, developing, and monitoring enterprise systems and software solutions, as well as technical training in Digital Systems, Programming, Networks, and Systems Administration.
Expertise in building and fine-tuning LLM-based systems using LangChain, LlamaIndex, OpenAI API, Anthropic Claude, Amazon Bedrock, RAG Pipelines, AI Agents, Pinecone, FAISS, and Weaviate for production-grade applications.
MLOps & Cloud Architecture on AWS
Deep knowledge in establishing end-to-end MLOps infrastructure including feature stores, model registries, automated retraining, A/B testing, CI/CD pipelines using AWS SageMaker, Lambda, S3, EC2, ECS, Glue, Redshift, Terraform, MLflow, Docker, Kubernetes, and Airflow.
Machine Learning & Modeling
Strong background in building recommendation systems, dynamic pricing models, demand forecasting (LSTM + XGBoost ensemble), search ranking (LTR/LambdaMART), NLP, churn prediction, and CLV models using PyTorch, Scikit-learn, XGBoost, LightGBM, and more.
Data Analytics & Business Intelligence
Proficiency in Python, SQL/PL-SQL, Spark, Hive, dbt, Power BI, Pandas, and NumPy for large-scale data analysis, KPI reporting, and decision support systems.
Predictive Analytics & Statistical Modeling
Experience delivering regression, clustering, classification, and forecasting models for retail, e-commerce, and enterprise clients using SAS, R, RapidMiner, KNIME, and Hadoop/Hive.
Technical Leadership & Roadmap Management
Proven ability to lead and mentor data science teams, define technical roadmaps, drive cross-functional collaboration, and present strategic recommendations to C-suite stakeholders using Agile/Scrum methodologies.
CRM Analytics & Marketing Optimization
Design and execution of targeted marketing campaign models, CRM analytics, sales forecasting, and acquisition cost reduction using SQL, Excel, R, and Spark.
Systems & Software Engineering
Background in designing, developing, and monitoring enterprise systems and software solutions, as well as technical training in Digital Systems, Programming, Networks, and Systems Administration.
Experience
Professional experience10+ years
Freelancer since2025
Languages
GermanBasic knowledgeEnglishFluentFrenchBasic knowledgePortugueseNative speaker
Project history
Architected and deployed end-to-end AI/ML platform on AWS for Africa's #1 e-commerce marketplace serving millions of daily users across 11 countries. Built production recommendation engine (collaborative filtering + deep learning), developed dynamic pricing optimization model, designed search ranking system (LTR/LambdaMART), deployed demand forecasting models (LSTM + XGBoost ensemble), implemented GenAI features including RAG-based support assistant and LLM-powered product description generation, and established full MLOps infrastructure with feature store, model registry, automated retraining, A/B testing using AWS SageMaker, Terraform, and CI/CD.
Led data science practice: managed team, defined roadmap, and owned delivery of advanced ML and optimization models. Built and deployed customer churn prediction and CLV models improving retention strategies for key accounts. Developed pricing and logistics optimization models delivering measurable cost reductions. Presented results and strategic recommendations directly to C-suite and key enterprise clients. Tech: Python, R, SQL, Google Cloud Platform, Power BI, Excel.
Delivered predictive analytics models (regression, clustering, classification) for one of Portugal's largest retail groups. Designed and executed targeted marketing campaign models improving response rates and reducing acquisition costs. Built automated forecasting and KPI reporting systems on Hadoop/Hive at scale. Tech: SAS, SQL, Python, R, Hadoop, Hive, Spark.