Data Engineer (Focus on Machine Learning)

ALTA IT Services - St. Louis, MO

Full-time - Mid Level

St. Louis, MO

Professional, Scientific, and Technical Services

About the position

As a Data Engineer with a focus on Machine Learning, you will play a crucial role in enhancing national security through advanced AI and machine learning technologies. Your work will involve developing and deploying multimodal deep learning models to process and analyze geospatial data, contributing to critical intelligence capabilities.

Responsibilities

• Develop and deploy advanced multimodal deep learning models to support GeoAI capabilities.
• Enhance analytical workflows to address high-priority intelligence challenges.
• Utilize state-of-the-art computer vision and vision-language models for image retrieval, segmentation, and object detection.
• Process and analyze various geospatial datasets, including satellite imagery and full-motion video.
• Implement common preprocessing tasks for geospatial imagery.

Requirements

• Bachelor's or Master's in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or equivalent experience.
• 5+ years of relevant experience in machine learning and AI applications.
• Expertise in transfer learning, knowledge distillation, and fine-tuning of pre-trained models for object detection and image analysis.
• Strong background in developing secure, containerized Python applications using Docker, OpenShift, and Kubernetes.
• Proficient in querying and retrieving geospatial imagery through S3-compliant APIs using Boto3 and NumPy.
• Proficiency in deep learning frameworks like PyTorch or TensorFlow.
• Experience leveraging GPU acceleration (CUDA) for machine learning workflows.
• Expertise in GitLab and related version control systems.

Nice-to-haves

• Familiarity with Vision Transformers (ViT) such as DINO and DeiT.
• Experience with Hugging Face Transformers and XAI techniques.
• Knowledge of creating and managing containerized applications using OpenShift, Helm, and Kustomize.
• Strong communication skills for conveying complex AI models to diverse stakeholders.
• Experience with building and maintaining verification and validation test benches for AI models.

Benefits

• Opportunity to work on cutting-edge technology in national security.
• Collaborative and innovative work environment.
• Impactful work contributing to the intelligence community.