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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