Senior MLOps Engineer
Workplace: Stockholm, Sweden
Expires: June 14, 2025
Lead the transformation of Truecaller's MLOps platform to enable fast, scalable, and cost-effective machine learning model development and deployment. Collaborate across teams to accelerate model training, deployment, and experimentation with impact on generative AI applications.
Main requirements:
- Minimum 5 years experience in machine learning engineering focusing on production deployment
- Hands-on experience deploying ML models on mobile devices (e.g., TensorFlow Lite, Core ML, ONNX Runtime Mobile)
- Strong understanding of ML frameworks such as TensorFlow, PyTorch, ONNX and their mobile deployment
- Experience building and maintaining toolchains for feature engineering, model training, deployment, monitoring, and A/B testing
- Understanding of Android and iOS development impacts on ML model deployment and usage
- Strong communication and collaboration skills across multidisciplinary teams
- Customer-focused mindset
Responsibilities:
- Lead MLOps platform transformation, designing and building infrastructure to enable teams
- Understand current and future developer and organizational needs, create and maintain roadmap
- Collaborate closely with developers to make model training, development, and monitoring fast, scalable, and cost-efficient
- Stay updated on MLOps, AI, and cloud computing trends and drive continuous innovation
Required hard skills:
- Machine learning engineering and production model deployment
- ML model deployment on mobile platforms (TensorFlow Lite, Core ML, ONNX Runtime Mobile)
- Machine learning frameworks: TensorFlow, PyTorch, ONNX
- Platform/tool development for feature engineering, model training, deployment, monitoring, A/B testing
- Understanding of Android and iOS app development related to ML
Recommended hard skills:
- Experience with AutoML tools such as H2O.ai or Auto-Keras
- Experience with generative AI experimentation, fine-tuning, and deployment
Soft skills:
- Strong communication skills
- Collaboration across diverse teams
- Customer-focused mindset
Coding languages:
- Python
Frameworks:
- TensorFlow
- PyTorch
- ONNX
Operating systems:
- Linux
- Android
- iOS
Natural languages:
- English (Proficient)
Cultural skills:
- Working in international and diverse teams
- Adaptability in agile and flexible work environments
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