{"id":4071232,"url":"https://alion.io/job/truecaller-senior-mlops-engineer","title":"Senior MLOps Engineer","company":{"id":9023,"name":"Truecaller","domain":"truecaller.com","url":"https://alion.io/company/truecaller","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"A","score":93,"open_postings":32,"ghost_share":0.031,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":66,"computed_at":"2026-11-11T05:49:22Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Stockholm, Sweden","Sweden"],"countries":["SE"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Apache Kafka","optional":false},{"name":"CI/CD","optional":false},{"name":"Feast","optional":false},{"name":"Feature Store","optional":false},{"name":"Flink","optional":false},{"name":"GCP","optional":false},{"name":"GDPR","optional":false},{"name":"GitOps","optional":false},{"name":"Google BigQuery","optional":false},{"name":"Google GKE","optional":false},{"name":"Kubeflow","optional":false},{"name":"Kubernetes","optional":false},{"name":"Least Privilege","optional":false},{"name":"LLM","optional":false},{"name":"Platform Engineering","optional":false},{"name":"Python","optional":false},{"name":"SLI/SLO/SLA","optional":false},{"name":"Vertex AI","optional":false}],"status":"live","first_seen_at":"2026-11-11T10:53:37Z","employer_posted_date":"2026-11-11","last_verified_at":"2026-11-11T19:00:27Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"Join Truecaller - The place where innovation meets impact!\nTruecaller'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:\nWe are trusted by over 500 million active users every month across 190+ countries\nWe identify over 15 billion calls daily, helping users avoid spam and scams\nWe are powered by a team of 400+ employees from 45+ nationalities\nWe 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.\nThe role: \nYou'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.\nWhat you'll do: \nML platform on GCP: Vertex AI, Kubeflow Pipelines and GKE-based training and serving infrastructure, kept reliable, secure and cost-efficient.\nPaved roads for ML teams: templates, CI/CD and self-serve tooling so data scientists ship models without filing tickets.\nModel lifecycle: registry, versioning, deployment, rollback, and monitoring for drift and serving health.\nData integration: feature and training data flows across BigQuery and Airflow together with the data platform engineers.\nInfrastructure as code: everything managed through GitOps with Config Sync, with access following least privilege for PII and policy-tagged data.\nCost and capacity: GPU/compute usage, quotas, and spend visibility per team.\nWhat you bring in: \n5+ years in MLOps, ML platform, or platform engineering, with at least 2 years owning production ML infrastructure end-to-end.\nHands-on GCP: Vertex AI, GKE, and BigQuery in production, not only as skill tags.\nKubernetes depth: you've run and debugged clusters yourself, not just deployed to them.\nPipeline orchestration with Kubeflow Pipelines or Vertex AI Pipelines, plus Airflow.\nGitOps for infrastructure (Config Sync or similar) and CI/CD for model deployment.\nPython to production standard, including tests and packaging.\nProven platform thinking: you've built tooling other teams self-serve on, with docs and SLOs.\nComfortable working independently as the single owner of a company-wide platform.\nIt would be great if you also have: \nStreaming features or online inference with Dataflow/Flink and Kafka.\nFeature stores (Vertex AI Feature Store, Feast) and model monitoring tooling.\nLLM serving and evaluation on Vertex AI or similar.\nGPU scheduling and cost optimisation on GKE.\nExperience with data governance (DataHub, policy tags) and privacy regulations such as GDPR or DPDP.\nPrior experience in high-scale consumer products.\nWhat we offer: \nWe 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: \nA comprehensive compensation package: We offer a competitive salary, 30 days of paid vacation, private health insurance, parental leave top-up, pension, and wellness contributions.\nModern tools to do your best work: Choose your preferred computer and phone within our budget, so you can work comfortably and efficiently.\nA 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, lunch, and well-stocked snack stations and quiet spaces to team activities such as movie nights, tech meetups, and cultural events. There's something for everyone.\nTruecaller’s “Lab Days” offer a space for imagination: 5 times per year for 3 days, where everyone steps away from their normal tasks to explore new, bold ideas and build things they’ve always wanted to. It’s a space where curiosity leads the way, and prototypes take shape. Some concepts even make it into production, and a few have grown into real features used by millions today. Lab Days allow you to be creative, learn fast, and help shape Truecaller's future.\nCome as you are:\nTruecaller 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. \nCheck out Life at Truecaller - Behind the code: https://www.instagram.com/lifeattruecaller/\nSounds like a great opportunity?\nWe will fill the position as soon as we find the right candidate, so please send your application as soon as possible. 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