Senior ML Engineer - Mobile ML & Federated Learning

True Software Scandinavia AB; Stockholms kommun; Hybrid; SEK 900,000 - 1,300,000; Full time

Benefits offered by this job

Competitive salary

30 days vacation

Private health insurance

Pension

Parental leave top-up

Wellness contributions

Hybrid work model

Job summary

Truecaller is seeking a Senior ML Engineer to optimize training and deployment of ML models, including on-device inference for mobile privacy and better user experience. This role blends hands‑on model work with collaborating across teams to establish best practices and tools for efficient ML development and deployment on mobile platforms.

You will drive continuous innovation, staying ahead in ML trends and exploring areas like federated learning to keep Truecaller at the cutting edge and

Qualifications

• 5+ years of experience in machine learning engineering.

Responsibilities

• Define roadmaps with your manager to meet developer and organisational needs.
• Deploy models to production quickly and cost‑effectively across teams.
• Optimise ML models for mobile devices and on‑device inference.
• Serve as the go‑to expert for mobile model development and deployment.
• Stay up to date with ML trends and drive innovation across Truecaller.

Skills

ML engineering

Android development

iOS development

English communication

Collaborative teamwork

Customer-focused mindset

Education

Degree in computer science or equivalent

Tools

TensorFlow

PyTorch

ONNX

TensorFlow Lite

Core ML

ONNX Runtime Mobile

Job description

Truecaller is seeking a Senior ML Engineer to optimize training and deployment of ML models, including on-device inference for mobile privacy and better user experience. This role blends hands‑on model work with collaborating across teams to establish best practices and tools for efficient ML development and deployment on mobile platforms.

You will drive continuous innovation, staying ahead in ML trends and exploring areas like federated learning to keep Truecaller at the cutting edge and