Role OverviewOur client is a rapidly growing startup that uses AI technology to capture and analyze real-world conversations, providing full visibility into every customer interaction. As an ML Engineer, you will design, build, and deploy production-grade ML systems with end-to-end ownership of the model lifecycle.
What You Will Do
Your day-to-day responsibilities will include designing and building AI-powered solutions, developing and optimizing ML models, collaborating with cross-functional teams, and working directly with customers to deliver impactful real-world solutions.
Why It Might Be a Fit
This role requires a strong understanding of data pipeline design, real-time inference, and model monitoring, as well as excellent communication skills to engage directly with customers and stakeholders.
Requirements
- Bachelor’s or Master’s degree in Computer Science, Machine Learning, Artificial Intelligence, or a related field
- 1-6 years of professional experience in ML engineering
- Strong programming skills in Python (TypeScript experience is a plus)
- Hands-on experience with ML frameworks such as PyTorch or TensorFlow
- Familiarity with cloud environments and infrastructure (preferably AWS)
- Strong understanding of data pipeline design, real-time inference, and model monitoring
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