
Cloud Native ML Specialist
17 hours ago
We are a dynamic team at Truecaller, working towards a common goal: making communication smarter, safer, and more efficient. We're seeking a Senior MLOps Engineer to join our team and help us drive innovation in MLOps.
About the RoleIn this role, you will be responsible for leading the transformation of our MLOps platform, enabling our teams to deploy machine learning models quickly and efficiently. You will collaborate closely with developers to design and build the infrastructure needed to support our growing product portfolio.
Key Responsibilities:
- Lead the MLOps transformation in Truecaller by designing and building the infrastructure needed to enable our teams.
- 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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