Role OverviewThe role involves designing, building, and deploying production-grade ML systems with end-to-end ownership of the model lifecycle. The ML Engineer will work directly with customers to identify needs, gather feedback, and deliver impactful real-world solutions.
What You Will Do
The ML Engineer will design, build, and deploy production-grade ML systems, architect and deliver AI-powered solutions, develop and optimize ML models, and collaborate with cross-functional teams to shape the foundations of the AI stack.
Why It Might Be a Fit
The ideal candidate will have 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
- Excellent communication skills with the ability to engage directly with customers and stakeholders
Benefits
- Above market base salary
- Bonus
- Equity
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