Senior AI Platform Engineer (Databricks & GenAI)

PowerPlan, Inc.; Smyrna (GA); On-site; USD 120,000 - 150,000; Full time

Benefits offered by this job

Work on real AI/ML problems

Influence the evolution of a data + AI platform

Partnership with senior leaders

Job summary

A leading enterprise data solutions provider located in Smyrna, Georgia is seeking a Senior AI/ML Engineer to modernize and scale their data and AI platform. This role involves designing AI-ready data models, deploying machine learning systems, and operationalizing analytics to enhance decision-making across business workflows. The ideal candidate will bring over 10 years of hands-on experience in data analytics and engineering, particularly with tools like Databricks and Snowflake, along with a robust understanding of SQL and Python. Join a dynamic team to influence the company's AI-driven future.

Qualifications

• 10+ years of experience in Data Analytics, Data Engineering, ML Engineering, or AI Engineering.
• Strong hands-on experience with Databricks or Snowflake in production environments.
• Expertise in SQL, Python, and distributed data processing (Spark preferred).
• Strong understanding of data modeling for analytics and AI.
• Experience building and deploying ML models in real-world systems.
• Familiarity with LLMs, GenAI concepts, and AI-assisted analytics.
• Experience with ML lifecycle tools (MLflow, Feature Stores, CI/CD for ML).

Responsibilities

• Modernize and operationalize the analytics data platform.
• Build and deploy production-grade ML pipelines.
• Democratize AI across business teams.

Skills

Data Analytics

Data Engineering

ML Engineering

AI Engineering

Databricks

Snowflake

SQL

Python

Distributed Data Processing

Data Modeling for Analytics

ML Models Development

ML Lifecycle Tools

GenAI Concepts

AI-assisted Analytics

Tools

Databricks Genie

MLflow

Feature Stores

CI/CD for ML

Job description

A leading enterprise data solutions provider located in Smyrna, Georgia is seeking a Senior AI/ML Engineer to modernize and scale their data and AI platform. This role involves designing AI-ready data models, deploying machine learning systems, and operationalizing analytics to enhance decision-making across business workflows. The ideal candidate will bring over 10 years of hands-on experience in data analytics and engineering, particularly with tools like Databricks and Snowflake, along with a robust understanding of SQL and Python. Join a dynamic team to influence the company's AI-driven future.