Machine Learning Engineer III (NLP)
Suki AI · Bengaluru, Karnataka, India · US
Posted 60+ days ago
Health Tech
On-site
Not yet analysed
Demand80
Career growth85
Healthcare fit25
Remote potential70
5-year outlook
Strong salary growth expected given high demand for NLP/ML expertise in healthcare AI, with potential for senior roles and leadership.
Clinical license
Not required
Applicant reach
narrow
Seniority
senior
Employment type
–
Date found
2026-08-26
Intelligence details
Why this is worth applying to
Only consider if you have strong ML/NLP experience; otherwise, not a fit. For clinicians with tech background, it's a great opportunity to apply clinical knowledge to impactful AI products.
Who should apply
Clinicians with a background in computer science, data science, or ML engineering, or those who have transitioned to tech.
CV angle
Highlight clinical domain knowledge as an asset, emphasizing understanding of clinical workflows and documentation. Frame any ML projects with healthcare context.
Skills to highlight
- NLP
- LLM
- Python
- TensorFlow/PyTorch
- Model training
- Data curation
- Healthcare domain knowledge
- Communication
Role summary
A senior ML engineer role focused on building and improving NLP models for Suki's ambient clinical documentation AI assistant.
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