Senior Artificial Intelligence Engineer
1 day ago
About Truecaller
At Truecaller, we're dedicated to making communication smarter, safer, and more efficient. Our team uses AI and machine learning to build innovative products that enhance user experiences and protect against fraud and harassment.
We're a global leader in communication and data analytics, with over 400 million active users per month and a presence in multiple countries.
About the Role
We're seeking a highly skilled Senior ML Engineer to join our Data Science and Analytics Products team. As a key member of this team, you'll play a critical role in optimizing training and deployment of ML models to be quick and cost-efficient.
Responsibilities include collaborating with cross-functional teams to establish best practices and tools for efficient ML model development and deployment, particularly on mobile platforms.
The ideal candidate will have hands-on experience deploying ML models on mobile devices and a strong understanding of machine learning frameworks and their deployment on mobile platforms.
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- Developing and deploying AI-powered solutions to enhance user experiences and protect against fraud and harassment.
- Collaborating with cross-functional teams to establish best practices and tools for efficient ML model development and deployment.
- Optimizing training and deployment of ML models to be quick and cost-efficient.
- Working closely with the Data Science team to develop and implement new AI-powered features.
- Staying up-to-date with the latest trends and technologies in ML Engineering, especially ML on mobile phones.
Requirements
To be successful in this role, you'll need:
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- 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.
- 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.
Benefits
We offer a competitive salary, 30 days of paid vacation, flexible working hours, private health insurance, parental leave top-up, pension contribution, Udemy membership to keep learning and improving, and free gym membership.
As a member of our team, you will have the opportunity to work on challenging projects, learn from experienced professionals, and contribute to the growth and success of our organization.
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