Senior AI Engineer

🔥 13 hours ago

🗿 South Dakota – Remote

🗿 South Dakota – Remote

⏰ Full Time

🟠 Senior

🤖 AI Engineer

👻 Ghost score 10%

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SAIC

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1969

☁️ SaaS

📣 Marketing

🏢 Enterprise

💰 $500M Post-IPO Debt - SAIC on 2025-09

SaaS • Marketing • Enterprise

SAIC is represented in the supplied content by marketing and product copy that matches Bitly — a cloud-based link management and QR-code platform. The material describes a SaaS offering for URL shortening, dynamic QR Codes, link analytics, mobile-friendly landing pages, branded links, UTM campaign tracking, digital business cards, developer APIs and AI-enhanced features. It targets marketers, developers, and enterprises across industries (retail, CPG, hospitality, media, healthcare, finance, education) and emphasizes integrations, analytics, and enterprise-grade capabilities. Note: the provided text appears to be Bitly’s website content rather than information about SAIC; if you intended the defense/technology firm SAIC (Science Applications International Corporation), please provide relevant content.

📋 Description

• Design, develop, and deploy predictive models using regression, classification, clustering, and neural networks • Architect and implement end-to-end AI/ML/NLP solutions compliant with cybersecurity and enterprise policies • Produce maintainable, efficient, reliable, secure, fault-tolerant, and well-documented code • Identify and resolve performance bottlenecks, security vulnerabilities, and technical challenges across the AI/ML stack • Build and maintain CI/CD pipelines using Terraform, GitLab, and GitLab Runner, including automated testing, quality checks, and security scanning • Support production operations through deployments, smoke testing, monitoring, incident/root cause analysis, and issue resolution • Participate in Agile processes, including user-story refinement, task estimation, sprint backlog creation, reviews, demos, and retrospectives • Collaborate with product, architecture, DevOps, security, and QA teams • Design and run experiments, analyze results, and fine-tune models for Document AI use cases • Document technical designs, models, and processes and communicate findings to technical and non-technical stakeholders

🎯 Requirements

• Bachelor’s degree or higher in Computer Science, Machine Learning, or a related field; 4 years of experience may be substituted for the degree • 18 years of experience, including 13+ years of overall professional Software/IT experience • 7+ years of hands-on experience in Data Analysis and Machine Learning • Experience maintaining and enhancing machine learning systems, preferably for document processing and Document AI • Strong proficiency in Python and modern ML libraries/frameworks, including TensorFlow and PyTorch • Expertise with AWS services including Bedrock, Lambda, ECS, SQS, SNS, S3, ELB, ALB, and Aurora RDS • Experience creating Terraform configurations and using GitLab Runner to deploy software in cloud environments • Expertise with image transformer models for document image understanding, such as Microsoft’s DiT • Experience implementing self-supervised learning techniques for large-scale unlabeled text images • Experience applying Transformer models to Document AI tasks, including document image classification and document layout analysis • Ability to use self-supervised pre-trained models as backbone networks for downstream Document AI tasks • Proficiency designing experiments, analyzing outcomes, tuning models, and communicating results • Familiarity integrating Transformer models into OCR pipelines • Understanding of image processing techniques and OpenCV for document image analysis • At least one current AWS certification required, such as AWS Certified Solutions Architect, Developer, Machine Learning, SysOps Administrator, or Cloud Practitioner • Desired: Java, SQL, relational databases, web services, REST APIs, Spring, Spring Boot, Hibernate, JPA, MyBatis, JBoss/Fuse, Camel, AMQ, and broader AWS architecture and integration patterns