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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI/ML Software Engineer - **Company:** Savannah River Nuclear Solutions, LLC - **Location:** Aiken, SC, United States - **Experience:** Experienced - **Salary:** $87,444.0 - $122,640.0 - **Contract:** Permanent contract - **Skills:** Clean Code Principles, Java (Programming Language), Agile Methodology, Artificial Intelligence, Algorithm Design, Amazon Web Services, Software Applications, JIRA, C++ (Programming Language), Cloud Engineering, Cyber Security, Databases, Python (Programming Language), Machine Learning, Scrum Methodology, Tensorflow, Azure Machine Learning, Software Systems, Systems Integration, Google Cloud, Pytorch, Large Language Models, Virtual Reality, Keras, Gitlab, Git, Scikit Learn, Integration Tests, Information Technology, Graphql, Machine Learning Operations, Restful APIs, Software Version Control, Programming Languages - **Published:** June 18, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=700c8f07aad482c0 ## About the Role Do you have experience in Research?, Do you have a Master's degree?, We are seeking to hire an experienced Artificial Intelligence and Machine Learning (AI/ML) Software Engineer to join our operational technology group at the Savannah River Site. Our group focuses on the facility deployment of AI/ML solutions. This role involves taking existing AI/ML products, particularly large language models (LLMs), and training and deploying them effectively within our systems. This position requires a motivated and team-oriented individual who can leverage AI/ML technologies to meet the challenges of building and operating a data-centric modern manufacturing facility. The ideal candidate will have proven experience from previous job experience to make an immediate impact with the existing team and support current project activities., * Bachelor's degree in Computer Science or relevant field plus at least five years of experience (YOE) in a relevant role, OR Master's degree in relevant field plus at least two years of experience (YOE), OR Doctoral degree in relevant field * Equivalencies to experience and education requirements will be considered We'd Also Like to See * 4+ years of experience as an AI/ML developer, delivering scalable solutions in collaborative environments. * Considered to be a Full Stack Developer * Expertise in machine learning frameworks such as TensorFlow, PyTorch, Scikit-learn, or Keras. * Proficiency in programming languages such as Python, C++, or Java. * Strong understanding of statistical modeling, algorithm design, and optimization principles. * Experience designing and integrating RESTful or GraphQL APIs for system-wide functionality. * Knowledge of cloud-based AI/ML deployment (AWS, GCP, Azure ML) and MLOps practices. * Familiarity with CI/CD pipelines for machine learning, version control systems (e.g., Git), and automated monitoring tools. * Knowledge of data ethics, governance, and security considerations in AI/ML development. * Familiarity with Agile and Scrum frameworks using tools like JIRA or GitLab. * Experience with applying AI to augmented or virtual reality environments is a plus. Expertise in machine learning frameworks such as TensorFlow, PyTorch, Scikit-learn, or Keras. * Proficiency in programming languages such as Python, C++, or Java. * Strong understanding of statistical modeling, algorithm design, and optimization principles. * Experience designing and integrating RESTful or GraphQL APIs for system-wide functionality. * Knowledge of cloud-based AI/ML deployment (AWS, GCP, Azure ML) and MLOps practices. * Familiarity with CI/CD pipelines for machine learning, version control systems (e.g., Git), and automated monitoring tools. * Knowledge of data ethics, governance, and security considerations in AI/ML development. * Familiarity with Agile and Scrum frameworks using tools like JIRA or GitLab. * Experience with applying AI to augmented or virtual reality environments is a plus., Requires in-depth conceptual and practical knowledge in own field/discipline, solving complex problems with minimal guidance and oversight. ## Description Information Technology / Operations Technology (IT/OT) professionals sculpt the technological framework of the organization through the creation and management of scalable and secure information systems. Charged with the development and deployment of solutions, they analyze short- and long-term requirements to enhance system functionality and efficiency. They design and refine software applications, ensuring integration with existing architectural paradigms while also developing network systems and infrastructure to support business needs. IT/OT personnel manage the organization's IT/OT landscape, guaranteeing the reliable operation of servers, databases, and other components of the technology ecosystem. By maintaining a secure and robust IT/OT infrastructure, they uphold the integrity and confidentiality of data while facilitating connectivity and accessibility. Information Technology / Operations Technology personnel continually adapt to technological advancements, ensuring the organization stays at the forefront of emerging IT/OT trends and is well-equipped to meet future challenges while maintaining secure and stable operations. Discipline Description Software Engineers design, develop, and maintain software solutions by engaging in the complete development lifecycle. They collaborate with customers to capture requirements, aligning them with business goals and architectural guidelines. Using various programming languages, they craft secure and efficient code, often incorporating third-party resources to extend functionality. These experts are committed to continual system improvement and adoption of new technologies to meet changing business demands. They also prioritize security, constantly updating systems to address emerging threats. Additionally, Software Engineers specify and evaluate vendor capabilities to provide applications or services, and configure, implement, and maintain software applications. They conduct a wide range of tests and analyses to ensure software meets or exceeds specified standards and end user requirements and ensure that system improvements are successfully implemented and monitored to increase efficiency., * Deploy existing AI/ML products, particularly large language models (LLMs), and train them for specific facility applications. * Develop code and integrate AI/ML solutions into existing systems. * Perform integration testing and collaborate with other internal teams. * Conduct research to gather requirements and support the development of AI/ML systems. * Develop and deploy machine learning systems to handle data inputs and analyze facility data. * Provide technical guidance and support to Program/Project customers. * Communicate with project customers and end users to ensure clarity and satisfaction., The SRNS vision states that we will "be the standard of excellence in nuclear materials management by delivering knowledge, innovation and experience." This is underpinned by the recognition that everything we do relies on our employees and how they demonstrate the SRNS Standards of Excellence every day. Built on the foundation of safety and security, each employee is expected to: Model Excellence by demonstrating the highest standards and values in work and promoting them within the organization and to the customer. Deliver Results by meeting customer expectations to ensure objectives, goals and deadlines are met while being good stewards of resources. Energize and Recognize Teams through growing organizational strength and recognizing continued excellence. Build Relationships by developing relationships with coworkers and customers to foster a respectful workplace. Shape the Future by creating a diverse, innovative and integrated workforce that fosters mission success and company growth. ## Related Videos - [Machine learning in the browser with TensorFlowjs](https://www.wearedevelopers.com/videos/155-machine-learning-in-the-browser-with-tensorflowjs) - [Improving quality with Agentic AI with Rovo Dev and Xray](https://www.wearedevelopers.com/videos/2005-improving-quality-with-agentic-ai-with-rovo-dev-and-xray) - [How a Small Team Shrank a Microsoft Monorepo by 94%](https://www.wearedevelopers.com/videos/1236-how-a-small-team-shrank-a-microsoft-monorepo-by-94) - [Navigating the AI Revolution in Software Development](https://www.wearedevelopers.com/videos/1266-navigating-the-ai-revolution-in-software-development) - [Overview of Machine Learning in Python](https://www.wearedevelopers.com/videos/840-overview-of-machine-learning-in-python) - [Collaboration Quantified: Lessons from Open Source Developer Networks](https://www.wearedevelopers.com/videos/1422-collaboration-quantified-lessons-from-open-source-developer-networks) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it) - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models) - [What Industries Outside of AI Are Hiring The Most AI Experts?](https://www.wearedevelopers.com/magazine/98-what-industries-outside-of-ai-are-hiring-the-most-ai-experts) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production)