AI Solutions Engineer
Innodata Inc.3 months ago
Responsibilities
- Configure and validate AI-assistive features across Dataset Explorer, DataCard Service, and Annotation Platform components.
- Integrate and tune SAM 2 for full-motion video annotation, including object tracking, segmentation calibration, and confidence thresholds.
- Integrate Frontier model APIs for synthetic-data fidelity validation, including prompt engineering, response validation, and quality scoring.
- Configure AI-assisted annotation features such as confidence scoring, auto-escalation triggers, and model-assisted label suggestions.
- Implement ICAM/OIDC authentication integration with the AFS identity framework.
- Configure data-layer DLP policies above the AFS-managed DLP infrastructure substrate.
- Configure the NiFi FMV codec validation layer for H.264, H.265, and MPEG-4.
- Validate AI feature integration end-to-end across the storefront, annotation platform, and DataCard write-back.
- Partner with the Solution Architect and Data/Annotation Engineer to produce high-quality, model-ready data.
Requirements
- Bachelor's degree in Computer Science, Machine Learning, Data Science, or a related field, or equivalent experience substituting on a 2-for-1 basis; a master's degree is preferred.
- At least 6 years of total professional experience and 4 years of hands-on AI/ML engineering experience.
- Experience with SAM 2 or an equivalent foundation-model integration for computer vision or video annotation.
- Experience integrating Frontier model APIs such as OpenAI or Anthropic, including asynchronous job management and quality-validation pipelines.
- Strong production-grade Python skills and comfort with ML tooling and data-pipeline development.
- Experience configuring AI-assistive features in annotation platforms or ML data tooling.
- Active Secret clearance with TS/SCI eligibility.
- Experience with CVAT, DoD or intelligence-community data programs, AI/ML training-data evaluation, video understanding or FMV annotation, and DataCard or ML data-provenance frameworks is preferred.
Benefits
- The role is part of an intensive 20-week program phase.
- The position operates in a secure federal IL4 environment.
- The role does not own infrastructure deployment and focuses on the AI/ML configuration and integration layer.
- Expected hourly salary is $75 to $80 per hour.
Tech Stack
DatabricksPython
Categories
Solutions Engineering
About Innodata Inc.
Innodata Inc. builds data engineering and annotation services and platforms that supply training data, evaluation, and pipelines for enterprises and technology companies building AI models, including generative and robotics applications. Its business model centers on B2B services, managed data operations, and tools for data collection, cleansing, and labeling across text, image, video, and sensor data. Founded in 1988 and headquartered in Ridgefield Park, New Jersey, it is a public company trading on NASDAQ (INOD).