or apply directly on Truecaller's site. We never take the application ourselves.
Is this posting real?
- This role has been open
- 80 days Truecaller's roles stay open a median of 81 days
- Reposted
- No
- Salary listed
- No 0% of Truecaller's roles list one
- Ghost-job risk at Truecaller
- high 33 stale, 1 reposted of 33 open
- Hiring momentum
- 39 roles opened in the last 90 days ↑ up vs. the prior 90 days
- Last confirmed on the employer's board
- 2026-10-23
Measured from postings appearing on and disappearing from Truecaller's own greenhouse board since 2026-08-03. Full hiring picture for Truecaller.
About this role
As a Senior ML Engineer at Truecaller, you will optimize the training and deployment of machine learning models, focusing on mobile devices to enhance user experience and data privacy. Your role involves collaborating with various teams to establish best practices for ML model development and deployment, while staying updated on the latest trends in ML engineering. You will also create a roadmap to meet the needs of developers and the organization.
- benefits
- 5/5
- freshness
- 1/5
- career value
- 4/5
- role clarity
- 4/5
- pay transparency
- 0/5
Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of Truecaller as an employer.
What you need
- Degree in computer science or equivalent
- 5+ years of experience in machine learning engineering, with a focus on deploying ML models in production environments
- Strong understanding and experience in optimising feature engineering, model training, and model deployment
- Strong understanding of machine learning frameworks (TensorFlow, PyTorch, ONNX) and their deployment on mobile platforms
- Strong communication and collaboration skills, with the ability to work effectively across different teams and disciplines
- A customer-focused mindset
Nice to have
- Hands-on experience deploying ML models on mobile devices (e.g., TensorFlow Lite, Core ML, ONNX Runtime Mobile)
- Understanding of both Android and iOS development and how that impacts ML model deployment and usage
What you get
- Competitive salary
- 30 days of paid vacation
- Private health insurance
- Parental leave top-up
- Pension
- Wellness contributions
Worth weighing
- No specific salary listed
- Focus on mobile ML deployment may limit exposure to other areas of ML
- Office-first model may not suit those preferring remote work
Summarised from Truecaller's posting. Read the full original.
Listed by Truecaller on their greenhouse job board, last confirmed open on 2026-10-23. PitchMeAI is not the employer.
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