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.