CACI International-posted 2 months ago
$79,400 - $162,700/Yr
Full-time • Entry Level
Reston, VA
5,001-10,000 employees
Professional, Scientific, and Technical Services

Join CACI's Enterprise Digital Transformation and Analytics Team to develop and deploy AI solutions and products. Our team integrates with all functional areas across operations and the business such as business development, contracts, finance, accounting, human resources, and other programs. We're seeking an early career AI engineer who will leverage generative AI, machine learning, and innovative analytics to develop solutions that drive operational excellence, optimize business processes and find and understand predictive insights. You will apply your expertise, curiosity, innovation and customer centric approach to core AI development, data engineering/cloud operations, and internal consulting. You will work directly with senior customers to understand the business processes and how the data is used for decision activities and pose business questions to help drive data discoveries, data design, and proof of concepts. Use an agile, analytical approach to design, develop, and evaluate AI models and advanced algorithms on both structured and unstructured data. Generate and test hypotheses and derive patterns, trends, and correlations. Build repeatable machine learning systems to automate AI models. Effectively consult and communicate with senior leaders of the results of the data models.

  • Develop applications using Large Language Models (LLMs) and other GenAI technologies
  • Design and implement sophisticated machine learning models, including advanced regression, classification, and clustering techniques
  • Create and validate statistical prediction models
  • Conduct rigorous model evaluation and testing
  • Lead feature engineering and algorithm optimization efforts
  • Translate technical concepts into business value propositions
  • Present findings and recommendations to stakeholders
  • Drive adoption of AI solutions across the organization
  • Architect and maintain data pipelines using AWS services (Athena, ECS, Glue, Lambda, s3)
  • Implement MLOps practices for model deployment and monitoring
  • Design scalable data processing solutions
  • Manage data quality and infrastructure reliability
  • Optimize cloud resource usage and performance
  • U.S. Citizenship is required
  • Bachelor's Degree or equivalent experience with 2-3 years of AI/ML experience
  • Strong expertise in machine learning algorithms and statistical modeling
  • Proven experience with LLMs and advanced NLP techniques
  • Proficiency in Python and key ML libraries (scikit-learn, Pandas, NLTK, Transformers)
  • Experience with AWS cloud services and MLOps
  • Excellence in technical communication and stakeholder management
  • Ability to maintain confidentiality and work in time-critical environments
  • Experience developing AI initiatives in enterprise environments
  • Certification in AWS Machine Learning or related specializations
  • Healthcare
  • Wellness programs
  • Financial benefits
  • Retirement plans
  • Family support
  • Continuing education
  • Time off benefits
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