ML Engineer

World's #1 caller ID and spam-blocking service with 400M+ active users, making communication smarter and safer through AI.
Machine Learning
Mid-Level Software Engineer
In-Person
101 - 500 Employees
3+ years of experience
AI · Enterprise SaaS · Consumer

Description For ML Engineer

Truecaller, a global leader in caller ID and spam-blocking services, is seeking an ML Engineer to join their Insights Team in Bangalore. As a company with over 400 million monthly active users and a strong presence on Nasdaq OMX Stockholm, Truecaller is at the forefront of making communication safer and more efficient through AI-powered solutions.

The role focuses on SMS Categorization, Fraud detection, and Smart SMS features, working with cutting-edge technologies including LLMs. You'll be part of a team that handles OTP & bank notifications, bill & travel reminder alerts, using a patented offline text parser. The Smart SMS feature currently serves over 90M users daily.

As an ML Engineer, you'll be instrumental in advancing natural language processing capabilities, working with large language models, and implementing in-device models across diverse regions. The position requires strong expertise in machine learning engineering, with particular emphasis on NLP, model deployment, and production environment management.

The ideal candidate brings 3+ years of ML engineering experience, strong proficiency in Python, and expertise with modern ML frameworks. You'll work in an international environment with team members from 35+ nationalities, enjoying comprehensive benefits including health insurance, parental leave, and continuous learning opportunities.

This role offers the unique opportunity to impact millions of users' daily communications while working with state-of-the-art technology in a dynamic, inclusive environment. The position is based in Bangalore, following an office-first approach while offering some flexibility for work arrangements.

Last updated 9 days ago

Responsibilities For ML Engineer

  • Design, develop, and deploy state-of-the-art NLP models for message classification and fraud detection
  • Collaborate with Product and Engineering teams to scope, design, and implement systems
  • Build and optimize ML models for large-scale data processing
  • Work with data scientists and engineers for rapid experimentation and development
  • Implement automated workflows, CI/CD pipelines, and monitoring tools
  • Stay updated with ML and NLP advancements
  • Optimize feature engineering, model training, and deployment strategies

Requirements For ML Engineer

Python
Kubernetes
  • 3+ years in machine learning engineering with hands-on involvement in feature engineering, model development, and deployment
  • Experience in Natural Language Processing (NLP)
  • Proven ability to develop, deploy, and maintain ML models in production
  • Strong familiarity with ML frameworks like TensorFlow, PyTorch, and ONNX
  • Experience with Kubernetes, Docker, APIs, Vertex AI, GCP
  • Strong SQL and statistical skills
  • Programming knowledge in Python
  • Knowledge of machine learning algorithms
  • Excellent teamwork and communication skills

Benefits For ML Engineer

Medical Insurance
Dental Insurance
Vision Insurance
Parental Leave
Education Budget
  • 30 days paid vacation
  • Flexible working hours
  • Private health insurance
  • Parental leave
  • Telephone bill reimbursement
  • Udemy membership
  • Wellness allowance
  • Choice of computer and phone
  • Daily lunch and breakfast
  • Healthy snacks and beverages
  • Playroom and team activities

Interested in this job?

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