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AI Model Development and Deployment Expert

2 weeks ago

Stockholm, Stockholm, Sweden Truecaller Full time

Machine Learning Operations Platform Transformation

We are looking for a Senior MLOps Engineer to lead the transformation of our machine learning operations platform. The successful candidate will design and build the infrastructure needed to enable fast, scalable, and cost-effective machine learning model development and deployment.

Key Responsibilities

  • Design and build the infrastructure needed to enable fast, scalable, and cost-effective machine learning model development and deployment.
  • Help set the best ways of working to make the best use of the platform and increase developer productivity.
  • Collaborate closely and support developers throughout the organization to make model training, development, and monitoring fast, scalable, and cost-efficient.
  • Stay up to date with the latest trends and technologies in MLOps, AI, and cloud computing, and drive continuous innovation throughout Truecaller.

Requirements

  • 5+ years of experience in machine learning engineering, with a focus on deploying ML models in production environments.
  • 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.
  • Experience building and maintaining tools and platforms for feature engineering, model training, model deployment, model monitoring, and A/B testing model performance.
  • 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.

Bonus Requirements

  • Experience with AutoML tools (for example H2O.ai or Auto-Keras).
  • Experience enabling generative AI experimentation, fine-tuning, and deployment.