AI Data Scientist

Job Family: Data Science Consulting Travel Required: Up to 25% Clearance Required: Ability to Obtain Public Trust What You Will Do: Partner with stakeholders to define and deliver AI/analytics use cases, translating business needs into scalable data science solutions.Design and develop machine learning models and analytical approaches to support search, discovery, and insight generation across structured and unstructured data.Build and implement NLP, semantic search, and entity resolution cap

Role OverviewAn AI Engineer (Artificial Intelligence Engineer) is responsible for designing, developing, and deploying intelligent systems that can learn, reason, and make decisions. This role involves working with machine learning models, data pipelines, and AI frameworks to build scalable, real-world applications. Key ResponsibilitiesDesign and develop machine learning and AI models for various use casesCollect, preprocess, and analyze large datasetsTrain, test, and optimize machine learning m

An AI Engineerdesigns, develops, and deploys artificial intelligence systems, specializing in machine learning models, neural networks, and data processing to automate business tasks. They bridge data science and software engineering, creating AI-powered applications, managing AI infrastructure, and integrating APIs to solve complex problems.Key ResponsibilitiesModel Development:Designing, building, and training machine learning and deep learning models (e.g., GANs, CNNs).System Integration:Depl

Role OverviewAn AI Data Engineer is responsible for designing, building, and managing data infrastructure that supports AI and Machine Learning systems. This role focuses on creating scalable data pipelines, preparing high-quality datasets, and enabling efficient model training and deployment. Key ResponsibilitiesBuild and maintain data pipelines for AI/ML workflowsCollect, clean, and preprocess structured and unstructured dataDesign and manage data lakes and data warehousesDevelop ETL/ELT proce