AI/ML Engineer, Data Ingestion & Enterprise NLP (Remote)

Approved Experiences, Inc.; Northern (KY); Teletrabalho; USD 140 000 - 210 000; Tempo integral

Resumo da oferta

Approved Experiences, Inc. is seeking an AI/ML Engineer focused on data ingestion and NLP to design streaming and batch pipelines, validate schemas, and ensure enterprise readiness. You’ll implement security, identity, and governance features to support Fortune 500 engagements.

The role requires strong Python skills, hands-on NLP experience, and expertise with modern data stacks (Kafka, dbt, Airflow/Dagster, Snowflake/BigQuery/Databricks) in a remote US environment.

Qualificações

• 5+ years building production data infrastructure, including enterprise SaaS exposure.

Responsabilidades

• Design and operate the data ingestion architecture: streaming and batch pipelines with schema validation, idempotency, and observability.
• Build NLP systems for entity extraction, classification, embeddings, intent detection, and semantic search across structured and unstructured sources.
• Own enterprise readiness end-to-end: RBAC, SSO (SAML 2.0/OIDC), SCIM sync, audit logging, tenant isolation.
• Drive SOC 2 Type II readiness with leadership — evidence collection and policy tooling.
• Implement data governance: encryption, key management, PII handling, residency controls, retention policies.
• Collaborate with CRO and customer-facing teams on security questionnaires and procurement diligence.
• Partner with consumer ML engineer to ensure ingestion outputs feed models consistently.

Conhecimentos

Data pipelines

NLP systems

SOC 2 readiness

Python

Go/Rust/TS

OAuth/OIDC

SCIM

Security reviews

Ferramentas

Kafka

dbt

Airflow

Dagster

Snowflake

BigQuery

Databricks

AWS

GCP

Descrição da oferta de emprego

Approved Experiences, Inc. is seeking an AI/ML Engineer focused on data ingestion and NLP to design streaming and batch pipelines, validate schemas, and ensure enterprise readiness. You’ll implement security, identity, and governance features to support Fortune 500 engagements.

The role requires strong Python skills, hands-on NLP experience, and expertise with modern data stacks (Kafka, dbt, Airflow/Dagster, Snowflake/BigQuery/Databricks) in a remote US environment.