Senior MLOps Engineer

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.

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.

• →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.

• 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.

• 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.

Truecaller is committed to building a diverse and inclusive team. We believe that a wide range of backgrounds, perspectives, and experiences strengthens our products and our culture. No matter where you're from, what language you speak, or how you identify,  we value what makes you unique and would love to get to know you. 

Check out Life at Truecaller - Behind the code:  https://www.instagram.com/lifeattruecaller/

Sounds like a great opportunity?

We will fill the position as soon as we find the right candidate, so please send your application as soon as possible. As part of the recruitment process, we will conduct a background check.