Dark Wolf Solutions is seeking a Data Engineer to build and maintain the data infrastructure for AI/ML models, supporting a new proposal effort and enabling AI-as-a-service in contested and disconnected networks.
Requirements
- 5+ years of experience performing data engineering efforts to include: data architecture, modeling, cleansing, ingesting, updating, and visualization
- 2+ years of experience working with Cloud environments
- 1+ year experience using scripting languages such as R, Python, or Javascript
- 1+ years experience using Big Data technologies and tools (e.g. Spark, Hadoop, Hive, Cassandra, Druid, Flink, Drill, Trino, NoSQL)
- Experience with a variety of open source and commercial ETL tools for preparing and loading data for AI/ML analytics
- Ability to manipulate raw data into effective visualization dashboards
- Demonstrates a deep understanding of multiple database concepts
Responsibilities
- Enabling AI/ML Data pipelines as part of an AI/ML Data Factory.
- Testing and validating the performance of the AI/ML Data Factory.
- Designing, developing, and maintaining robust and scalable data pipelines in support the AI/ML Data Factory.
- Assist with data acquisition, ingestion, and tagging; data exploration and understanding; feature extraction and analysis; data engineering and conditioning; and data labeling.
- Constructing AI/ML datasets, ensuring they meet the specific requirements of our AI/ML models.
- Building edge-compatible pipelines using NVIDIA Triton Inference Server, TorchServe, or TF Lite to enable AI-as-a-service in contested and disconnected networks.
- Deploying containerized AI workloads using Docker, K3s, and Istio across Zero Trust micro-segmented environments following NSA Kubernetes STIG guidance.
Other
- US Citizenship and an active Top Secret security clearance required
- Comfortable in a project startup environment
- Ability to communicate end to end data outcomes visually
- The estimated salary range for this position is $150,000.00 - $200,000.00, commensurate on experience and technical skillset.
- In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire.
