- Lead technical discovery with prospective and existing customers to understand model objectives, gaps, and constraints.
- Design end-to-end solutions across the post-training stack including SFT data curation, preference data collection, golden datasets, and custom benchmarks.
- Architect engagements that combine Innodata’s platforms with a global SME workforce.
- Author technical proposals, SOWs, solution diagrams, and pricing models in partnership with sales and delivery teams.
- Run technical workshops, POCs, and pilot designs to prove value and de-risk programs.
- Serve as the ongoing technical advisor during delivery to keep solutions aligned with original intent.
- Feed customer signal back into Innodata’s R&D and product roadmap.
- Stay current on state-of-the-art eval methodologies and post-training paradigms.
- Represent Innodata externally at customer reviews and conferences.
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