Gen AI Data Engineer: Scale Real-Time Data Platforms

Tiger Analytics; United States; On-site; USD 150,000 - 190,000; Full time

Job summary

Tiger Analytics is seeking experienced Machine Learning Engineers with Gen AI experience to join our fast-growing analytics consultancy in the United States. You will work on designing and implementing large-scale ML and AI pipelines, collaborating with onshore and offshore teams to deliver robust data-driven solutions.

The role emphasizes building scalable data platforms, developing Gen AI workflows, and applying best practices in DevOps, security, and performance optimization across cloud

Qualifications

• Proficiency in Python, SQL, and PySpark.
• Experience with Snowflake, NOSQL and Neo4j.
• Proficiency with Apache Airflow.

Skills

Python

SQL

PySpark

Snowflake

NoSQL

Neo4j

Airflow

AWS

SageMaker

Vertex AI

GCP

Linux

Git

VS Code

DevOps

Communication

Collaboration

Tools

Airflow

Docker

Kubernetes

Terraform

CloudFormation

GitHub Actions

Job description

Tiger Analytics is seeking experienced Machine Learning Engineers with Gen AI experience to join our fast-growing analytics consultancy in the United States. You will work on designing and implementing large-scale ML and AI pipelines, collaborating with onshore and offshore teams to deliver robust data-driven solutions.

The role emphasizes building scalable data platforms, developing Gen AI workflows, and applying best practices in DevOps, security, and performance optimization across cloud