AI Intern

Responsibilities Sabre Systems is seeking a motivated and talented AI Intern to help our organization leverage AI across various business units. As an AI Intern, you will work closely with cross-functional teams to identify opportunities for AI integration, develop solutions, and support the implementation of AI-driven processes. This role offers a unique opportunity to gain hands-on experience in applying AI to real-world business challenges while contributing to the company’s strategic goals. Collaborate with business units to identify opportunities for AI-driven improvements in operations, decision-making, and efficiency. Analyze existing workflows and processes to recommend AI solutions that align with business objectives. Assist in developing and deploying machine learning models tailored to specific business needs, such as predictive analytics, process automation, and optimization. Support the integration of AI tools and technologies into existing systems and workflows across departments. Conduct research on emerging AI trends and technologies to identify innovative solutions for business challenges. Work with stakeholders to define project requirements, success metrics, and implementation plans for AI initiatives. Create dashboards, reports, and visualizations to communicate insights and results from AI projects to non-technical stakeholders. Document AI project methodologies, outcomes, and lessons learned for knowledge sharing across the organization. Ensure compliance with data security, privacy, and ethical standards in all AI-related activities. Qualifications Currently pursuing a degree in Computer Science, Data Science, Artificial Intelligence, Business Analytics, or a related field.Strong analytical skills and the ability to translate business needs into technical solutions. Excellent communication skills, with the ability to explain technical concepts to non-technical audiences. Knowledge of cloud platforms (e.g., AWS, Azure, Google Cloud) is a plus.Familiarity with business process automation using AI tools and natural language processing (NLP) Understanding of Agile development methodologies, project management tools It would be great if you have A strong understanding of machine learning concepts, algorithms, and frameworks.Proficiency in programming languages such as Python, R, or Java.Familiarity with AI tools and libraries, such as TensorFlow, PyTorch, or scikit-learn.Experience with data preprocessing, feature engineering, and visualization tools (e.g., Pandas, Matplotlib, Seaborn). LI-PH# Compensation Statement At Sabre Systems, LLC, compensation is based on factors such as location, qualifications, experience, and contract-specific requirements; however, final compensation will be determined by individual qualifications and applicable contract terms. The general salary range for this position is as follows $18.00 - $20.00 Refer & Earn Employee Referral Bonus Eligibility This requisition is not bonus-eligible, but we still welcome and value your referrals. At Sabre Systems, we encourage employees to refer exceptional candidates. If you have any questions about the referral policy or this position, please contact the Recruiting team. Sabre Overview Sabre Systems, LLC, has been providing innovative technological solutions and services for Department of Defense, Federal Civilian, and commercial customers for more than 35 years. We support the ever-evolving areas of advanced communication technologies, cyber, systems and software engineering, and digital transformation. With over three decades in business, Sabre Systems, LLC remains committed to our small business values and a people-first philosophy. We foster a welcoming, inclusive culture that values diverse perspectives and encourages open communication. Our collaborative environment supports continuous learning and professional growth at all levels. We prioritize the health, well-being, and success of our employees, offering comprehensive, evolving benefits designed to meet their diverse needs. Join us and be part of a thriving, people-driven culture.