Project Overview
The DLA Procurement Integrated Enterprise Environment (PIEE) Development and Sustainment program supports modernization, enhancement, and sustainment of a mission-critical defense procurement and payment platform comprising approximately 34 applications.
The program focuses on enterprise software modernization, legacy-code refactoring, Agile/DevSecOps delivery, AWS GovCloud operations, CI/CD automation, cybersecurity, AI/ML integration, automated testing, and improved system performance and user experience.
Responsibilities
- Responsible for the engineering of big data solutions and multi-tiered data environments.
- Leads initiatives utilizing big data solutions to provide actionable insights for addressing strategic and tactical mission objectives.
- Designs data models using Enterprise Data modeling tools (ERwin, Visio).
- Builds high-performance algorithms, prototypes, and data models using required programing languages (e.g., Python, C/C++, Java, Perl, Scala). Analyzes and develops data set processes for data ingestion, modeling, and mining.
- Provide AI roadmap, ROI business cases, model validation and governance.
Minimum Requirements:
- Must have Active Secret Clearance
- Minimum 8 years of experience.
- Experience engineering large scale big data deployments in Government and large commercial environments.
- Experience with ML, NLP, MLOps, Python, data engineering, responsible AI
- Experience with Hadoop-based technologies (Cloudera, Hortonworks, MapReduce, Hive, HDFS).
- Experience with NoSQL technologies (e.g., MongoDB, Cassandra)
- Experience designing data models using Enterprise Data modeling tools (ERWin, Visio).
- Experience integrating Big Data solutions with SAP technologies.
- Bachelor or Master degree is required
Rate:
Not specified
Location:
Remote
IR35 Status:
Not specified
Remote Status:
Remote
Industry:
AI & Machine Learning
Seniority Level:
Senior