08/12/2025 updated
SA
100 % available
AI/ML Engineer with LLM and Recommendation Systems Expertise
Almere, Netherlands
Only remote
B.Sc. Computer ScienceArtificial IntelligenceAmazon Web ServicesAmazon Elastic Compute CloudAmazon S3Google BigQueryCloud ComputingPersonalizationInformation EngineeringData InfrastructureForecastingPostgreSQLMachine LearningNatural Language ProcessingNLTK (NLP Analysis)Predictive Analytics
LLM Development
Deep expertise in fine-tuning and deploying Large Language Models (GPT-3.5/Claude) with Retrieval-Augmented Generation (RAG) for production applications.
Recommendation Systems
Advanced knowledge in building CNN-based recommendation engines and personalization systems that significantly improve user engagement metrics.
Machine Learning Pipelines
Comprehensive experience designing end-to-end ML pipelines with predictive analytics, anomaly detection, and NLP components.
Cloud Infrastructure
Extensive experience with AWS services including Lambda, EC2, ECS, S3, Bedrock, Personalize, and Redshift for scalable AI deployments.
Deep Learning Frameworks
Proficiency in PyTorch, TensorFlow, Hugging Face, and other modern deep learning frameworks for model development.
Data Engineering
Skills in BigQuery, PostgreSQL, Docker, Terraform and other data infrastructure tools for robust ML systems.
Time Series Analysis
Experience implementing ARIMA/Prophet models for predictive analytics and strategic forecasting applications.
Natural Language Processing
Expertise in NLTK, spaCy, and sentiment analysis techniques for automated classification and user feedback processing.
Deep expertise in fine-tuning and deploying Large Language Models (GPT-3.5/Claude) with Retrieval-Augmented Generation (RAG) for production applications.
Recommendation Systems
Advanced knowledge in building CNN-based recommendation engines and personalization systems that significantly improve user engagement metrics.
Machine Learning Pipelines
Comprehensive experience designing end-to-end ML pipelines with predictive analytics, anomaly detection, and NLP components.
Cloud Infrastructure
Extensive experience with AWS services including Lambda, EC2, ECS, S3, Bedrock, Personalize, and Redshift for scalable AI deployments.
Deep Learning Frameworks
Proficiency in PyTorch, TensorFlow, Hugging Face, and other modern deep learning frameworks for model development.
Data Engineering
Skills in BigQuery, PostgreSQL, Docker, Terraform and other data infrastructure tools for robust ML systems.
Time Series Analysis
Experience implementing ARIMA/Prophet models for predictive analytics and strategic forecasting applications.
Natural Language Processing
Expertise in NLTK, spaCy, and sentiment analysis techniques for automated classification and user feedback processing.
Experience
Professional experience5 - 10 years
Freelancer since2020
Languages
EnglishNative speaker
Project history
Developed a custom AI Haircare Coach using fine-tuned LLMs and RAG, built a CNN-based recommendation engine for product matching, engineered personalized campaign engines, and deployed an AI Customer Success Agent.
Built a predictive analytics engine with ARIMA/Prophet, implemented NLP-driven sentiment analysis, led adoption of micro-frontend architecture, and diagnosed UI friction points using clustering techniques.
Deployed anomaly detection models for payment systems, enhanced user feedback processing with NLP techniques, built a TF-IDF recommendation system, and optimized backend model performance.