Select Source Solutions invites you to be part of our innovative journey in developing secure, private, and trustworthy Generative AI (GenAI) solutions. Join in advancing mission-critical outcomes through cutting-edge GenAI technologies.

We blend decades of expertise with an agile innovation ecosystem, driving mission success and enabling customers to thrive in a dynamic environment. By energizing the brightest minds with emerging technologies, we inspire creative solutions and push the boundaries of what is possible.

Responsibilities

As a Generative AI Specialist, you will:

• Innovate with AI: Identify opportunities for GenAI to provide business insights or enhance operational processes.
• Collaborate Cross-Functionally: Work with product designers, developers, and engineers to integrate large language models (LLMs) and GenAI with web applications.
• Research & Develop: Explore machine learning algorithms to propose solutions meeting business needs.
• Deploy Scalable Solutions: Design systems that connect to data sources and deploy via APIs or web services.
• Adopt DevSecOps Principles: Ensure continuous, high-quality software delivery.
• Utilize Containerization: Develop and deploy containerized models using Docker.
• Enhance User Experience: Collaborate with UX/UI designers and front-end developers to optimize model output delivery.
• Engage Stakeholders: Provide technical explanations and support to customer stakeholders.

Qualifications

Minimum Requirements:

• Education: Bachelor’s degree in engineering, mathematics, computer science, or related field. Graduate students highly preferred.
• Experience: At least 2 years of Python development experience.
• Technical Proficiency:
  • Familiarity with machine learning mathematics and data structures.
  • Experience with CI/CD processes, Git, and agile development.
  • Ability to propose solutions to complex challenges and communicate effectively with technical and business audiences.
• Clearance: Active Secret clearance.

Preferred Qualifications:

• Advanced Education: Graduate degree in a related technical discipline.
• Software Development: Experience with industry best practices, tools (GitLab, Docker), and automated deployments.
• Web Development: Knowledge of frameworks such as Angular, React, Ember, Node.js, or Express.js.
• Cloud Services: Familiarity with cloud platforms, including AWS, Microsoft Azure, or Google Cloud.
• Containerization: Desire to deepen expertise in technologies like Docker, Kubernetes, or Amazon ECS/EKS.
• LLM Expertise: Experience with large language models, embedding models, retrieval-augmented generation, and prompt engineering.
• Government Experience: Understanding of DOD software development processes and technologies.

Posted On: Friday, November 15, 2024