Forward-Deployed AI Data Engineer

Snorkel AI; New York (NY); On-site; USD 150,000 - 320,000; Full time

Benefits offered by this job

Equity options

Benefits

Job summary

Snorkel AI is seeking an engineering delivery professional to own the data pipeline lifecycle from data generation to ML-assisted workflows. You will drive end-to-end delivery, collaborating with the DaaS Delivery Operations team and cross-functional partners to design evaluation workflows, and implement quality standards that scale.

This role emphasizes technical leadership, turning ambiguous customer needs into production-grade assets, and delivering measurable impact across projects and

Qualifications

• 3+ years in data science, data engineering, ML engineering or similar roles.
• Strong Python and SQL data tooling experience.
• Experience with ML/LLM in production and validation workflows.
• Ability to translate ambiguous requirements into technical specs and workflows.
• Experience integrating systems via APIs and building custom tooling.

Responsibilities

• Build and deploy evaluators; design quality measurement systems.
• Generate synthetic datasets to accelerate client engagements.
• Package and deliver production-grade datasets with documentation and QA.
• Configure and build custom applications for non-standard client requirements.
• Define production specifications and workflows; enable go-live transitions.
• Provide ongoing technical support to Delivery Managers and resolve blockers.

Skills

Python

SQL

ML engineering

API integration

Data pipelines

Tools

Pandas

Job description

Snorkel AI is seeking an engineering delivery professional to own the data pipeline lifecycle from data generation to ML-assisted workflows. You will drive end-to-end delivery, collaborating with the DaaS Delivery Operations team and cross-functional partners to design evaluation workflows, and implement quality standards that scale.

This role emphasizes technical leadership, turning ambiguous customer needs into production-grade assets, and delivering measurable impact across projects and