![Andrew Barner](https://jobicy.com/react/themes/app/images/avatar.jpg) Andrew Barner # Senior AI/ML Engineer Open to offers · Member since 3 Aug 2026 [Message](https://jobicy.com/enter4715.php.md) ShareLocationAmsterdam, NetherlandsDesired salaryUnspecifiedWork preferenceRemote OnlyExperience levelSenior * [Overview](#overview) * [Portfolio 0](#portfolio) * [Services 0](#services) ## About Professional summaryI am a Senior AI/ML Engineer with over nine years of experience spanning software engineering, data analytics, machine learning, LLM applications, and MLOps. I build practical AI products that address measurable business needs across ecommerce, logistics, enterprise SaaS, and fintech. I specialize in developing recommendation systems, search and classification models, RAG assistants, and predictive analytics solutions. My work combines Python-based machine learning with strong data engineering, evaluation, and production deployment practices. In my current role at eBay, I design AI capabilities for marketplace discovery, seller support, personalization, and search relevance. I have delivered recommendation models, transformer classifiers, and RAG workflows that improved customer-facing experiences and operational efficiency. I am experienced in production model serving and lifecycle management, including FastAPI, ONNX Runtime, Docker, Kubernetes, MLflow, and AWS SageMaker. I focus on reliable releases, monitoring, drift detection, latency tracking, and repeatable model governance. I enjoy translating business questions into dependable AI features and collaborating with product managers, engineers, analysts, and operational teams. I also mentor engineers in RAG evaluation, prompt testing, and responsible generative AI practices. ## Skills 25 capabilities[A B Testing](https://jobicy.com/talent/a-b-testing.md)[API Development](https://jobicy.com/talent/api-development.md)[Artificial Intelligence](https://jobicy.com/talent/artificial-intelligence.md)[Batch Inference](https://jobicy.com/talent/batch-inference.md)[Classification](https://jobicy.com/talent/classification.md)[Data Analysis](https://jobicy.com/talent/data-analysis.md)[Data Engineering](https://jobicy.com/talent/data-engineering.md)[Deep Learning](https://jobicy.com/talent/deep-learning.md)[Embeddings](https://jobicy.com/talent/embeddings.md)[Machine Learning](https://jobicy.com/talent/machine-learning.md)[MLOps](https://jobicy.com/talent/mlops.md)[Model Evaluation](https://jobicy.com/talent/model-evaluation.md)[Model Registry](https://jobicy.com/talent/model-registry.md)[Natural Language Processing](https://jobicy.com/talent/natural-language-processing.md)[Predictive Analytics](https://jobicy.com/talent/predictive-analytics.md)[Prompt Engineering](https://jobicy.com/talent/prompt-engineering.md)[Python](https://jobicy.com/talent/python.md)[PyTorch](https://jobicy.com/talent/pytorch.md)[Recommendation Systems](https://jobicy.com/talent/recommendation-systems.md)[scikit learn](https://jobicy.com/talent/scikit-learn.md)[Search Relevance](https://jobicy.com/talent/search-relevance.md)[SQL](https://jobicy.com/talent/sql.md)[TensorFlow](https://jobicy.com/talent/tensorflow.md)[Vector Search](https://jobicy.com/talent/vector-search.md)[XGBoost](https://jobicy.com/talent/xgboost.md) ## Tech stack & tools Working toolkit ### Development [![Image](https://cdn.jsdelivr.net/gh/devicons/devicon@master/icons/docker/docker-original.svg) Docker](https://jobicy.com/talent?tool=docker.md)[![Image](https://cdn.jsdelivr.net/gh/devicons/devicon@master/icons/kubeflow/kubeflow-original.svg) Kubeflow](https://jobicy.com/talent?tool=kubeflow.md)[![Image](https://cdn.jsdelivr.net/gh/devicons/devicon@master/icons/kubernetes/kubernetes-original.svg) Kubernetes](https://jobicy.com/talent?tool=kubernetes.md) ### Languages & Frameworks [![Image](https://cdn.jsdelivr.net/gh/devicons/devicon@master/icons/fastapi/fastapi-original.svg) FastAPI](https://jobicy.com/talent?tool=fastapi.md)[![Image](https://cdn.jsdelivr.net/gh/devicons/devicon@master/icons/react/react-original.svg) React](https://jobicy.com/talent?tool=react.md) ### Libraries [![Image](https://cdn.jsdelivr.net/gh/devicons/devicon@master/icons/pandas/pandas-original.svg) Pandas](https://jobicy.com/talent?tool=pandas.md) ## Experience Career history ### Senior AI/ML Engineer · eBay Mar 2023 – PresentI joined eBay's Marketplace Intelligence team to deliver production AI solutions for search discovery, seller support, and personalization across European marketplace operations. I worked with machine learning engineers, product managers, and marketplace developers across six stakeholder groups to design recommendation models that improved related-item click-through rate by 14% across three high-traffic buyer discovery surfaces. I built RAG assistants using LangChain, embeddings, and vector search over internal documentation for seller-support workflows, validating response quality across more than 1,200 reviewed queries. I also fine-tuned transformer-based classifiers for listing categorization, improving offline F1 by nine points before controlled experiments. I deployed FastAPI inference services with ONNX optimization behind Kubernetes workloads handling more than 40,000 predictions per minute. I established MLflow and SageMaker workflows for training, model registry management, and controlled deployment, shortened release cycles by 28%, implemented drift and latency monitoring, and mentored engineers on RAG evaluation, prompt testing, and responsible generative AI practices. ### Machine Learning Engineer · Rotterdam Overseas Network (RON) Mar 2020 – Mar 2023I developed predictive analytics solutions for shipment delays, ETA forecasting, and operational decision support across international cargo networks. Working with logistics analysts, software developers, and operations planners, I built delay-risk and ETA prediction models using Python and Scikit-learn that helped planners prioritize over 500 monthly consignments. I built Spark and Airflow pipelines that combined port, carrier, and shipment attributes from 12 source tables, reducing manual preparation effort by 60% for recurring model training. I deployed batch inference workflows to identify high-risk shipments and enable earlier customer communication during disruptions. I also experimented with NLP classification for free-text EDI and booking exception notes, reducing manual incident categorization time by 41%. I tracked experiments in MLflow and documented model versions across eight iterations to strengthen governance and review processes. ### Data Analyst · eProductivity Software (ePS) Nov 2018 – Feb 2020I created SQL datasets and Python analytics services for manufacturing intelligence products, providing visibility across 20 production lines and supporting plant-level operational decisions. I collaborated with product managers, consultants, and software teams on ERP data related to production planning, machine utilization, and workflow management. I developed Scikit-learn prototypes using historical job and work-center data that improved duration estimates by 16% and helped customers identify scheduling risks earlier. I also created FastAPI services that delivered KPI information to React dashboards used for more than 200 daily views by manufacturing supervisors and business users. I automated nightly data preparation jobs to reduce daytime database contention by 24%, while creating reusable datasets for reporting, analytics, and future machine learning experiments. ### Junior Software Engineer · PayMaya Sep 2016 – Nov 2018I supported the expansion of a digital wallet platform, contributing to transaction services, QR payments, remittance workflows, and merchant-facing financial applications. Working under senior engineers, I built Python and SQL utilities around wallet transaction history and payment reporting for services used by hundreds of thousands of Filipino consumers. I prepared reporting queries and data scripts that helped risk and product teams analyze payment patterns and failed remittance cases, reducing manual investigation effort by 33% across two business groups. I also supported production debugging, API maintenance, and event-data preparation for customer-facing payment services. My work contributed clean datasets for four product campaign reviews, helping teams evaluate feature adoption and customer behavior. ## Education Learning historyNo education data available. This professional hasn’t added portfolio projects yet. This professional hasn’t listed any services yet.