# Senior MLOps Engineer at Truecaller

Truecaller is hiring a Senior MLOps Engineer. Level rates it Builds AI ●●●●; you can [apply on Truecaller](https://jobsbylevel.com/go/6c6fdddb-b3e7-4704-a760-99544eca8a9e?utm_medium=ai-agent).

AI Level 4, AI centrality 83 out of 100. Sweden.

## Details

- Company: [Truecaller](https://jobsbylevel.com/companies/truecaller)
- AI level: AI Level 4 (score 83 out of 100)
- Location: Sweden
- Posted: November 11, 2026
- Apply: https://jobsbylevel.com/go/6c6fdddb-b3e7-4704-a760-99544eca8a9e?utm_medium=ai-agent
- Free CV review for this job: https://jobsbylevel.com/cv-review?job=senior-mlops-engineer-at-truecaller-6f7e84

## Prepare for this job

The job page lists 4 likely interview questions for this offer, with a CV checklist: https://jobsbylevel.com/jobs/senior-mlops-engineer-at-truecaller-6f7e84

## Description

Join Truecaller – The place where innovation meets impact! Truecaller's mission is to build trust in communication by making it safer, smarter, and more efficient. Born in Sweden, trusted by the world, and here’s why we stand out: We are trusted by over 500 million active users every month across 190+ countries We identify over 15 billion calls daily, helping users avoid spam and scams We are powered by a team of 400+ employees from 45+ nationalities We always look for people who take initiative, own their work, and keep raising the bar. An entrepreneurial mindset matters here, especially when it turns bold ideas into real actions. We stay collaborative and focused, always searching for smarter paths forward. If you want to make an impact and grow with a team that inspires millions, you’ll fit right in. The role: You'll sit in the Data Infrastructure team, which runs the GCP data and ML platform for the whole company. Vertical teams own their models and use-case logic; you own the platform they build on: training, serving, pipelines, and the tooling around them. This is a role covering company-wide ML infra, so you'll be the go-to person from day one. What you'll do: ML platform on GCP: Vertex AI, Kubeflow Pipelines and GKE-based training and serving infrastructure, kept reliable, secure and cost-efficient. Paved roads for ML teams: templates, CI/CD and self-serve tooling so data scientists ship models without filing tickets. Model lifecycle: registry, versioning, deployment, rollback, and monitoring for drift and serving health. Data integration: feature and training data flows across BigQuery and Airflow together with the data platform engineers. Infrastructure as code: everything managed through GitOps with Config Sync, with access following least privilege for PII and policy-tagged data. Cost and capacity: GPU/compute usage, quotas, and spend visibility per team. What you bring in: 5+ years in MLOps, ML platform, or platform engineering, with at least 2 years owning production ML infrastructure end-to-end. Hands-on GCP: Vertex AI, GKE, and BigQuery in production, not only as skill tags. Kubernetes depth: you've run and debugged clusters yourself, not just deployed to them. Pipeline orchestration with Kubeflow Pipelines or Vertex AI Pipelines, plus Airflow. GitOps for infrastructure (Config Sync or similar) and CI/CD for model deployment. Python to production standard, including tests and packaging. Proven platform thinking: you've built tooling other teams self-serve on, with docs and SLOs. Comfortable working independently as the single owner of a company-wide platform. It would be great if you also have: Streaming features or online inference with Dataflow/Flink and Kafka. Feature stores (Vertex AI Feature Store, Feast) and model monitoring tooling. LLM serving and evaluation on Vertex AI or similar. GPU scheduling and cost optimisation on GKE. Experience with data governance (DataHub, policy tags) and privacy regulations such as GDPR or DPDP. Prior experience in high-scale consumer products. What we offer: We support growth through learning resources, leadership programs, mentoring, and real hands-on work. People can move between teams and projects to build new skills and keep things interesting. We offer clear internal mobility and a transparent path for progression, with leaders who stay involved and provide guidance throughout the year. In addition, you will benefit from: A comprehensive compensation package: We offer a competitive salary, 30 days of paid vacation, private health insurance, parental leave top-up, pension, and wellness contributions. Modern tools to do your best work: Choose your preferred computer and phone within our budget, so you can work comfortably and efficiently. A people-focused office culture: We value in-person collaboration and follow an office-first model, with some flexibility. Our offices offer a vibrant environment with opportunities to learn, connect, and recharge, from breakfast,

The description is cut here. Read the full offer: https://jobsbylevel.com/jobs/senior-mlops-engineer-at-truecaller-6f7e84

Source: https://jobsbylevel.com/jobs/senior-mlops-engineer-at-truecaller-6f7e84

## Cite this page

Level. https://jobsbylevel.com/jobs/senior-mlops-engineer-at-truecaller-6f7e84.

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