Senior ML Engineer
Truecaller2 months ago
Bengaluru, IndiaSenior
Responsibilities
- Design, build, deploy, monitor, and continuously improve machine learning models for risk and intelligence products.
- Translate loosely defined business and customer problems into clearly scoped data problems with defined value, impact, and complexity.
- Develop anomaly detection, fraud, risk-modeling, propensity, and network or graph-based approaches resistant to adversarial behavior.
- Own model development and production operations in partnership with ML and data engineers, including scalability, reliability, cost, dashboards, and alerting.
- Design and interpret A/B tests, statistical experiments, and offline customer proofs of concept to validate new signals.
- Manage and analyze large multi-country datasets while maintaining data integrity, consistency, privacy, and compliance.
- Partner with Product, Engineering, Legal, and GTM/Sales teams to prioritize and ship data products and advise stakeholders on responsible data use.
Requirements
- At least 5 years of experience designing, building, and deploying machine learning models at scale.
- Strong applied machine learning knowledge covering classification, anomaly detection, propensity or scoring models, clustering, and time-series or drift monitoring.
- Hands-on experience moving models from research and experimentation into production, including scalability, reliability, and monitoring.
- Proficiency in Python, Pandas, NumPy, Scikit-learn, and either TensorFlow or PyTorch.
- Working knowledge of NLP and LLM-based techniques including prompting, summarization, and fine-tuning.
- Strong SQL skills and experience with large-scale data processing using BigQuery, Spark or PySpark, and the Hive or Kafka ecosystem.
- Ability to design, run, and interpret experiments and statistical tests for model and business impact.
- Strong communication skills for explaining model outputs and trade-offs to technical and non-technical stakeholders.
- Ability to work with privacy, compliance, data modeling, and data warehousing considerations.
- Graph analysis or graph machine learning experience, including network embeddings, community detection, or link prediction, is preferred.
- Experience with Neo4j or large-scale graph processing frameworks, Kubeflow, MLflow, Google Cloud Platform, on-device or edge ML, and fraud or risk-scoring domains is preferred.
- Experience working with data resellers, credit bureaus, enterprise data partners, or contact-center and dialer analytics is preferred.
Benefits
- Learning and development resources, leadership programs, mentoring, hands-on work, internal mobility, and progression support.
- Learning and development allowance, voluntary provident fund and/or national pension scheme tax-saving options, and creche allowance.
- Choice of preferred computer and phone within a company budget.
- Office-first work model with some flexibility and in-person collaboration, plus meals, quiet spaces, team activities, tech meetups, and cultural events.
- Five Lab Days per quarter for experimentation and building new ideas.
Tech Stack
Apache HiveApache KafkaApache SparkGoogle BigQueryGoogle Cloud PlatformHugging Face TransformersMLflowNeo4jNumPyPandasPythonPyTorchscikit-learnSQLTensorFlow
Categories
About Truecaller
Truecaller builds a mobile app and platform for caller ID, spam and fraud blocking, and contact verification used by consumers and businesses, especially in India and other emerging markets. It monetizes via ads, premium subscriptions, and enterprise solutions like verified business caller ID and messaging. Founded in 2009 and headquartered in Stockholm, the company is publicly listed on Nasdaq Stockholm and reports hundreds of millions of monthly active users.