
Machine Learning Infrastructure Leader
16 hours ago
Truecaller is a leading provider of caller ID and spam-blocking services, with a mission to make communication smarter, safer, and more efficient. We're seeking a Senior MLOps Engineer to lead the transformation of our MLOps platform, enabling fast, scalable, and cost-effective machine learning model development and deployment.
About the RoleThis is an exciting opportunity for a highly skilled engineer to join our Data Science and Analytics Products team. As a Senior MLOps Engineer, you will be responsible for designing and building the infrastructure needed to enable our teams to experiment with and deploy generative AI models.
Key Responsibilities:
- Lead the MLOps transformation in Truecaller by understanding current and future needs of developers and the organization, and creating a roadmap for meeting those needs.
- Collaborate closely with 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, driving 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.
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