Senior ML Engineer

The role:

As a Senior ML Engineer, you'll play a central role in building the data science behind the products — from framing new fraud, risk, and intelligence problems, to designing and deploying ML models at scale, to helping our enterprise customers and go-to-market teams understand and act on the insights we generate.

What you’ll do:

• Design, build, and continuously improve the ML models that power our risk and intelligence products, and take ownership of new signals as they get scoped.
• Take a loosely defined business or customer problem and break it into a clear data problem, articulating value, impact, and complexity before proposing a solution.
• Build anomaly detection, fraud, and risk-modeling approaches — including network/graph-based methods — that keep our signals accurate and resistant to adversarial behaviour.
• Own model development, deployment, and monitoring end-to-end, partnering with ML/data engineers on scalability, reliability, cost, and dashboards/alerting.
• Design and run experiments (A/B tests, offline customer POCs) to validate new signals before they roll into production.
• Manage and analyse large, multi-country datasets, ensuring data integrity, consistency, and compliance throughout.
• Partner cross-functionally with Product, Engineering, Legal, and GTM/Sales to scope, prioritise, and ship data products on time, acting as a trusted advisor on what the data can and can't responsibly support.

What you bring in:

• 5+ years of experience designing, building, and deploying ML models at scale, ideally including risk/fraud, propensity, or behavioural/network scoring use cases.
• Strong grounding in applied machine learning: classification, anomaly detection, propensity/scoring models, clustering, and time-series/drift monitoring.
• Exposure to graph-based analysis or graph ML (network embeddings, community detection, link prediction) is a plus.
• Hands-on experience taking models from research/experimentation into production — comfortable owning scalability, reliability, and monitoring, not just model accuracy.
• Working knowledge of NLP and LLM-based techniques (prompting, summarisation, fine-tuning) — useful for customer-facing AI insights and on-device text/SMS signal extraction.
• Proficiency in Python and the ML/data stack: Pandas, NumPy, Scikit-learn, TensorFlow or PyTorch; comfortable with Hugging Face Transformers where relevant.
• Strong SQL skills and experience with large-scale data processing (BigQuery, Spark/PySpark, Hive/Kafka ecosystem).
• Familiarity with database modelling and data warehousing principles.
• Ability to design, run, and interpret experiments and statistical tests to validate model and business impact.
• Strong communication skills — able to explain model output and trade-offs to both engineering peers and non-technical enterprise stakeholders.
• Comfort operating with a strong privacy/compliance mindset — Truecaller's data products are built on abstracted, privacy-safe signals, and you'll need to reason carefully about what can and can't be derived or stored.

• Experience with graph databases (e.g. Neo4j) or large-scale graph processing frameworks.
• Experience with ML lifecycle tools (Kubeflow, MLflow) and on-device/edge ML deployment.
• Familiarity with Google Cloud Platform (GCP) and BigQuery.
• Prior experience in fraud/risk scoring, credit/alternate-data, or contact-centre/dialer analytics domains.
• Experience working with data resellers, credit bureaus, or enterprise data partners on integrating and explaining model output.

• A comprehensive compensation package: Learning and development allowance, voluntary provident fund (VPF) and/or national pension scheme (NPS) tax saving option provided, creche allowance
• 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, lunch and quiet spaces to team activities such as movie nights, tech meetups, and cultural events. There's something for everyone.
• Truecaller’s “Lab Days” offer a space for imagination: 5 days each quarter, 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.

We only accept applications in English.