Machine Learning Engineer
DUSQ is a healthtech startup developing signal processing solutions for PPG-based physiological data. This role focuses on translating algorithm team logic into production-ready Python and C++ code. The position requires strong integration skills, handling signal preprocessing, and collaboration with backend and app teams. It is a implementation-focused role rather than research, suitable for someone who enjoys building reliable data pipelines.
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Experience
1-3 years
Function
Engineering
Work mode
Hybrid, India
Company
Tier 2
What you will work on
DUSQ is a healthtech startup developing signal processing solutions for PPG-based physiological data. This role focuses on translating algorithm team logic into production-ready Python and C++ code. The position requires strong integration skills, handling signal preprocessing, and collaboration with backend and app teams. It is a implementation-focused role rather than research, suitable for someone who enjoys building reliable data pipelines.
TAL's take
Solid tier-2 healthtech role with clear, well-defined responsibilities bridging algorithms and production engineering.
Very clear scope; explicitly differentiates implementation role from research, providing specific tech stack and team context.
Must haves
- 1-3 years experience in ML engineering or signal processing
- Strong Python skills
- Familiarity with NumPy, SciPy, Pandas
- Experience with REST APIs or real-time data pipelines
- Ability to implement algorithms from specs or papers
Tools and skills
Nice to have: android sdk, ios sdk, ble.
About the company
unfamiliar company, default mid-tier