23 hours ago
Remote, United States or Pierre, SD, USASenior
Responsibilities
- Design, develop, and deploy predictive models using regression, classification, clustering, and neural-network algorithms.
- Architect and implement end-to-end AI, machine learning, and NLP solutions that comply with cybersecurity and enterprise policies.
- Apply software engineering principles to produce maintainable, efficient, reliable, secure, fault-tolerant, and documented code.
- Identify and resolve performance bottlenecks, security vulnerabilities, and technical challenges across the AI/ML stack.
- Build and maintain CI/CD pipelines with Terraform, GitLab, and GitLab Runner, including automated testing, quality checks, and security scanning.
- Support production operations through deployments, smoke testing, monitoring, incident and root-cause analysis, and issue resolution.
- Design experiments, analyze results, and tune models for Document AI performance.
- Integrate transformer models with OCR pipelines and apply image processing for document analysis.
- Collaborate with cross-functional product, architecture, DevOps, security, and QA teams.
- Document technical designs, models, processes, findings, and recommendations for technical and non-technical stakeholders.
Requirements
- Bachelor’s degree or higher in Computer Science, Machine Learning, or a related field, with four years of experience accepted in lieu of the degree.
- At least 18 years of experience, including 13 or more years of overall professional Software/IT experience and 7 or more years of hands-on Data Analysis and Machine Learning experience.
- Proven experience maintaining and enhancing machine learning systems, preferably for document processing and Document AI.
- Strong Python proficiency and experience with TensorFlow, PyTorch, transformer models, self-supervised learning, OCR integration, and OpenCV.
- Experience 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.
- Experience with image transformer models such as Microsoft’s DiT and document image classification and layout analysis.
- Experience designing experiments, interpreting results, and tuning models for optimal performance.
- Desired qualifications include Java, SQL, relational databases such as Oracle, REST-based web services, Spring, Spring Boot, Hibernate, JPA, MyBatis, JBoss/Fuse, Camel, and AMQ.
- A current AWS certification is required, such as AWS Certified Solutions Architect, Developer, Machine Learning, SysOps Administrator, or Cloud Practitioner.
About SAIC
SAIC (Science Applications International Corporation) is a government technology integrator delivering systems engineering, enterprise IT, secure cloud, cybersecurity, C5ISR, and data analytics for U.S. defense, space, intelligence, and civilian agencies. It builds and sustains mission IT and digital engineering solutions under multi-year federal contracts and task orders. Founded in 1969, SAIC is headquartered in Reston, Virginia, and is a public company traded on the NYSE under the ticker SAIC.