AI/ML Engineer: Build Production-Ready Data Pipelines

GLOBO

Philadelphia (Philadelphia County)

On-site

USD 120,000 - 170,000

Full time

14 days+
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Job summary

GLOBO is seeking an AI/ML Engineer to own end-to-end data pipelines, model development, and production features that power the platform. You will work across the modern data stack (Snowflake, dbt, Fivetran) and AI infrastructure (AWS Bedrock, LLMs) to ship reliable, tested solutions.

You will build ingestion pipelines, implement data quality, validate model outputs, and collaborate with Product and Engineering to deliver AI-powered features.

Qualifications

  • Bachelor’s degree required in CS/DS/IS or related field.
  • 2+ years in data engineering, software development, or ML engineering.
  • Proficient in Python and SQL.
  • Experience with LLM integration (AWS Bedrock, Claude or OpenAI).
  • Familiar with dbt, Snowflake, and serverless architectures.

Responsibilities

  • Build and maintain data ingestion pipelines using Snowflake Openflow, Python, and Snowflake.
  • Develop incremental synchronization, state management, retry logic, and data contracts.
  • Transform raw data through staging and core models for analytics and ML workloads.
  • Apply data-quality checks for freshness, completeness, and referential integrity.
  • Ensure PII/PHI handling and masking across pipelines.

Skills

Python
SQL
Prompt engineering
Model evaluation

Education

Bachelor’s Degree in Computer Science, Data Science, Information Systems, or related field

Tools

AWS Bedrock
Anthropic Claude
OpenAI API
dbt
Snowflake
AWS Lambda
Fivetran
LangChain
CrewAI
PostgreSQL
Redis
React

Job description

GLOBO is seeking an AI/ML Engineer to own end-to-end data pipelines, model development, and production features that power the platform. You will work across the modern data stack (Snowflake, dbt, Fivetran) and AI infrastructure (AWS Bedrock, LLMs) to ship reliable, tested solutions.

You will build ingestion pipelines, implement data quality, validate model outputs, and collaborate with Product and Engineering to deliver AI-powered features.

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