Senior ML 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 450 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 450+ 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.

As a Senior ML Engineer, you will be working hands-on to optimise the training and deployment of ML models to be quick and cost-efficient. You will also be at the forefront of putting our ML models on mobile devices to enhance data privacy and customer experience. To achieve this, you will need to collaborate with teams across Truecaller to establish best practices and tools for efficient ML model development and deployment, particularly on mobile platforms. You will be expected to help Truecaller reach and remain at the cutting edge of ML training and deployment, and to explore new frontiers such as federated learning.

• →Understand the current and future needs of developers and the organisation, and create a roadmap with your manager for meeting those needs.
• →Work with teams across Truecaller, enabling them to deploy models to production quickly and cost-effectively.
• →Work hands-on with teams throughout Truecaller to optimise ML models for mobile devices.
• →Be the go-to expert for developing models for mobile devices as well as deploying them.
• →Staying up to date with the latest trends and technologies in ML Engineering, especially ML on mobile phones, and driving continuous innovation throughout Truecaller.

• Degree in computer science or equivalent
• 5+ years of experience in machine learning engineering, with a focus on deploying ML models in production environments.
• A strong understanding and experience to optimise feature engineering, model training, and model deployment.
• Hands-on experience deploying ML models on mobile devices (e.g., TensorFlow Lite, Core ML, ONNX Runtime Mobile).
• Strong understanding of machine learning frameworks (TensorFlow, PyTorch, ONNX) and their deployment on mobile platforms.
• Understanding of both Android and iOS development and how that impacts ML model deployment and usage.
• Strong communication and collaboration skills, with the ability to work effectively across different teams and disciplines.
• A customer-focused mindset.
• Excellent communication skills in spoken and written English.
  

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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.