
Senior AI Deployment Engineer
15 hours ago
We're Truecaller, a company dedicated to making communication smarter, safer, and more efficient. Our mission is to build trust everywhere, and we're seeking a Senior MLOps Engineer to help us achieve this vision.
About the RoleIn this role, you will lead the transformation of our MLOps platform, enabling our teams to deploy machine learning models quickly and efficiently. You will work closely with developers to design and build the infrastructure needed to support our growing product portfolio.
Key Responsibilities:
- Collaborate closely with developers throughout the organization to make model training, development, and monitoring fast, scalable, and cost-efficient.
- Work closely with our Data Science and Analytics Products team to understand current and future needs of developers and the organization, and create a roadmap for meeting those needs.
- 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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