Cloud-Based Machine Learning Solutions Architect
5 days ago
Data Science and Analytics Products Team
We are part of the Data Science and Analytics Products team, which builds centralized data products that serve the business and our customers. Our team collaborates across all of Truecaller, delivering products that require centralized ownership or where the competence to build the products is not present in the wider product organization.
Key Responsibilities
- Collaborate closely and support developers throughout the organization to make model training, development, and monitoring fast, scalable, and cost-efficient.
- Help set the best ways of working to make the best use of the platform and increase developer productivity.
- 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.
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