Asks for

The ad says“A genuine production mindset: monitoring, retraining, eval harnesses, CI/CD for models, and the instinct to debug when something drifts at 2am”
The ad says“Strong fundamentals in classical ML: feature engineering, model selection, validation, and the unglamorous parts of keeping a model healthy in prod”
The ad says“Experience with a major cloud (AWS / GCP / Azure), containers, and a modern data stack”
The ad says“Experience with a major cloud (AWS / GCP / Azure), containers, and a modern data stack”
The ad says“Comfortable with vector databases, embeddings, prompt evaluation, and measuring LLM systems with something more rigorous than vibes”
The ad says“Strong fundamentals in classical ML: feature engineering, model selection, validation, and the unglamorous parts of keeping a model healthy in prod”
The ad says“Hands-on experience with LLM frameworks — LangChain, LangGraph, LlamaIndex, or equivalents”
The ad says“Hands-on experience with LLM frameworks — LangChain, LangGraph, LlamaIndex, or equivalents”
The ad says“Hands-on experience with LLM frameworks — LangChain, LangGraph, LlamaIndex, or equivalents”
The ad says“Strong fundamentals in classical ML: feature engineering, model selection, validation, and the unglamorous parts of keeping a model healthy in prod”
The ad says“Comfortable with vector databases, embeddings, prompt evaluation, and measuring LLM systems with something more rigorous than vibes”
The ad says“5+ years of hands-on ML engineering in Python, with real production ownership not just notebooks”
The ad says“Strong fundamentals in classical ML: feature engineering, model selection, validation, and the unglamorous parts of keeping a model healthy in prod”
The ad says“Comfortable with vector databases, embeddings, prompt evaluation, and measuring LLM systems with something more rigorous than vibes”

What will you do?

As a Senior Machine Learning Engineer you will define how AI is done at Rebtel. What tooling we standardise on, how we evaluate models we put in front of real users, what "good" looks like for our prompts and our pipelines. AI is going from a side project to the core of how Rebtel operates and what we ship to our users. We're hiring the second engineer on our ML/AI subteam to help build it classical ML for the business, LLM-powered systems for the product, and a clear production mindset on both.

You'll sit inside the Data team, report to our Head of Data, and partner with one other ML/AI engineer to shape this capability from the ground up.

Areas of ownership:
You'll own work across two complementary tracks, and you'll ship in both.

Classical ML, in production, for operational leverage

Risk and fraud models across payments, top-ups, and account behaviour
Churn prediction and retention modelling on a user base of a million-plus
Forecasting, pricing, segmentation, and the next batch of operational problems we haven't tackled yet
Owning models end-to-end scoping with stakeholders, building, deploying, monitoring, retraining

LLMs and AI agents, from internal automation to in-product features

Start with our customer support agents and automations: RAG pipelines, prompt orchestration, tool-use, evaluation harnesses
Move LLM capability into the product as user-facing features
Help guide the company on where AI actually creates leverage, what to build, what to buy, what to ignore and turn the good ideas into shipped systems

Requirements:

You are an excellent communicator and collaborator. We work in English, but you will hear many languages in our Stockholm office
5+ years of hands-on ML engineering in Python, with real production ownership not just notebooks
Strong fundamentals in classical ML: feature engineering, model selection, validation, and the unglamorous parts of keeping a model healthy in prod
A genuine production mindset: monitoring, retraining, eval harnesses, CI/CD for models, and the instinct to debug when something drifts at 2am
Comfort working the whole loop: stakeholder scoping → data → model → deployment → measurement → iteration
Strong written and spoken English, and the ability to translate between business problems and ML ones
Hands-on experience with LLM frameworks — LangChain, LangGraph, LlamaIndex, or equivalents
Built RAG systems, agentic workflows, or LLM-backed products that real users (or real internal teams) actually used
Comfortable with vector databases, embeddings, prompt evaluation, and measuring LLM systems with something more rigorous than vibes
Obsession with staying up-to-date on developments in the AI space
Experience with a major cloud (AWS / GCP / Azure), containers, and a modern data stack
Experience in MLOps tooling: MLflow, Airflow, Kubernetes and feature stores is a plus
Background in fintech, payments, telecom, or other regulated / operational domains is a plus

Why Rebtel?

Rebtel has been connecting people across borders for nearly 20 years. Today, we’re profitable, growing, and at a pivotal moment in our journey. As we enter our next phase, we’re building an organisation designed for speed, ownership, and real impact, where every role contributes directly to shaping what comes next.

This is a place with global ambition and a strong foundation, where ideas move quickly and decisions matter. You won’t get lost in layers of process or slow-moving structures. Instead, you’ll find the space to take ownership, collaborate across teams, and make meaningful contributions from day one. Based in Stockholm, we bring together a diverse, international team united by a shared purpose: to simplify the way people connect worldwide.

At Rebtel, you are the most important asset and we strive to provide a comprehensive package of benefits and perks that enhance your well-being and work experience. Here are some of the things you can expect from us:

Pension Plan
Health Checkups, Influenza shots and Private Medical Insurance
Dental Insurance
Occupational insurance
Wellness allowance (5,000 SEK)
Discount on gym memberships
Bonus program
Extra parental pay
30 days annual vacation
Monday breakfasts
Relocation Support, if you're joining us from afar, we'll assist you in making a smooth transition.

We are Rebtel. We come from all around the world to create products for anyone who has crossed a border. We believe in equal opportunity and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Asks for

Values