Overview
On Site
140k - 170k
Contract - W2
Skills
Data Analysis
Application Development
Artificial Intelligence
Data Engineering
Training
Machine Learning (ML)
Extract
Transform
Load
ELT
Workflow
Ontologies
Large Language Models (LLMs)
Dashboard
Python
SQL
PySpark
Apache Spark
Cloud Computing
Amazon Web Services
Microsoft Azure
Microsoft Power BI
Tableau
Data Visualization
Insurance
Knowledge Management
Job Details
Join a leading provider of technology solutions for government and commercial clients, recognized for its expertise in cloud services, data analytics, and application development. The team is dedicated to solving complex challenges and delivering high-impact results for its customers. As a Senior ML Engineer you will deliver scalable, secure AI solutions by applying modern ML, data engineering, and platform-based development-especially within Palantir Foundry. The ideal candidate has hands-on Foundry expertise, strong Python and pipeline development skills, and experience integrating, training, deploying, and optimizing ML models across enterprise environments.
Requirements:
Requirements:
- Skilled in building machine learning models as well as designing and developing ETL/ELT pipelines
- Experienced in creating Foundry workflows and ontology models
- Hands-on experience with implementing large language models (LLMs)
- Adept at developing interactive dashboards
- Proficient in Python, SQL, and PySpark/Spark
- Proficient in cloud platforms including AWS and Azure
- Strong knowledge of PowerBI and Tableau for data visualization
- Medical, dental, vision, life, STD, and LTD insurance
- 11 federal holidays + PTO
- Performance based incentives
- 401(k) with company matching
- Flexible spending accounts for commuter, medical, and dependent care expenses
- Tuition assistance
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.