Dark Wolf Solutions is seeking an AI/ML Engineer to develop innovative AI/ML solutions for a critical mission for a key DoD customer, shaping the future of an initiative.
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.
- Assisting with data acquisition, ingestion, and tagging; data exploration and understanding; feature extraction and analysis; data engineering and conditioning; data labeling; and constructing, training, and validating AI/ML Datasets.
- Implementing and fine-tuning LLMs (e.g., OpenLLM, Falcon, Mistral, LLaMA, GPT-NeoX) using frameworks like Hugging Face Transformers, DeepSpeed, and LoRA/QLoRA for parameter-efficient tuning.
- Train and deploy LVMs (e.g., SAM, CLIP, DINOv2, YOLOv8) using PyTorch, Detectron2, or OpenCV for ISR and geospatial intelligence fusion, while emphasizing the critical importance of acquiring, sanitizing, and curating high-quality datasets to ensure effective model training and real-world applicability.
- Utilizing ONNX Runtime, TensorRT, and OpenVINO for quantization and hardware-accelerated inference on edge devices (e.g., NVIDIA Jetson, Intel Movidius, ARM-based SOCs).
- Leveraging Ray, Kubeflow, or MLflow to orchestrate distributed training and model lifecycle management across hybrid environments (cloud/tactical edge).
Other
- This position requires on-site support at MacDill Air Force Base in Tampa, FL.
- The successful candidate will be hired on a 1099/Temp-to-Perm basis that has the potential to transition into a full-time role within our expanding organization.
- Ability to communicate end to end data outcomes visually
- Comfortable in a project startup environment
- US Citizenship and an active Top Secret security clearance required
