Innodata Inc.
AI Solutions Engineer
Hybrid - Washington D.C
No sponsorship$75k-$80kDetected 12 days ago
TypeScriptPythonDatabricksRESTMachine LearningData EngineeringData ScienceComputer VisionLLMs
About the role
- As the AI Solutions Engineer, you'll bring the platform's AI capabilities to life.
- This role suits an engineer who's fluent across modern AI tooling and enjoys making sophisticated ML infrastructure actually work in production.
Responsibilities
- Configure and validate native AI-assistive features across bundled platform components (Dataset Explorer, DataCard Service, Annotation Platform)
- Implement Frontier model API integration for synthetic data fidelity validation: prompt engineering, response validation, quality scoring
- Implement ICAM / OIDC authentication integration with AFS identity framework
- Validate AI feature integration end-to-end across storefront, annotation platform, and DataCard write-back during Phase C
Requirements
- 6+ years total professional experience, 4+ years hands-on AI/ML engineering
- Experience configuring AI-assistive features in annotation platforms or ML data tooling
- Ideal candidate is equally comfortable writing Python integration code and reasoning about model quality - and understands that in a federal data environment, every AI decision needs an audit trail.
- Bachelor's degree in Computer Science, Machine Learning, Data Science, or related field required; Master's degree preferred. Equivalent experience may substitute for degree on a 2-for-1 basis.
- SAM 2 or equivalent foundation model integration for computer vision or video annotation
Nice to have
- CVAT annotation platform - AI feature configuration and operation
- Master's degree preferred.
- Equivalent experience may substitute for degree on a 2-for-1 basis.
Skills
- Configure data-layer DLP policies above the AFS-managed DLP infrastructure substrate
- Configure NiFi FMV codec validation layer (H.264, H.265, MPEG-4) above AFS-managed substrate
- Video understanding or FMV annotation experience
- DataCard or ML data provenance framework familiarity
Compensation
- The expected hourly salary range for this position is $75 to $80 p/hour, based on experience, skills, and qualifications.
Benefits
- Bachelor's degree in Computer Science, Machine Learning, Data Science, or related field required
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This listing is sourced directly from Innodata Inc.'s careers page and normalized into a canonical job model.