Senior Full-Stack Engineer (ML & Data) Stockholm - Hybrid
Core
Build AI agents that audit and optimize e-commerce advertising by connecting real profit data to ad accounts and shipping prediction models as production software.
Role type
Senior Full-Stack Engineer (ML & Data)
Builds
AI agents for e-commerce ad optimization, prediction models for product returns and net profit, and full-stack features in a TypeScript monorepo.
Domain
E-commerce advertising, AI agents, and applied machine learning.
Deliverable
production ML models | product features
Required skills
TypeScript (server and client), Python (pandas, scikit-learn), SQL, PostgreSQL, model training and evaluation, calibration, feature engineering, event-driven architectures, testing, CI/CD
Preferred skills
Bayesian modeling, marketing mix modeling, LLM API integration, GCP infrastructure, ad-tech domain experience
Technologies
TypeScript, Node.js, NestJS, Fastify, tRPC, Zod, Prisma, PostgreSQL, BigQuery, Python, pandas, scikit-learn, XGBoost, PyTorch, ONNX, FastAPI, Cloud Run, Pub/Sub, Docker, Terraform, GitHub Actions, React, Vite, Tailwind, Google Ads, Meta, Merchant Center, GA4
Responsibilities
Own prediction models end-to-end including training pipelines, feature engineering, evaluation, and serving; build and maintain data pipelines with quality checks; design and build full-stack features in TypeScript; work on AI audit agent prompt design and evaluation; extend integration workers for Google and Meta APIs; evolve the PostgreSQL data model; write tests and maintain CI/CD pipelines.
Seniority
Senior, hands-on IC
