Alpha Omega-posted 8 months ago
$115,179 - $200,000/Yr
Full-time • Senior
Remote • Vienna, VA
Merchant Wholesalers, Durable Goods

Alpha Omega is seeking an AI/ML Software Development Engineer for a Remote position on our Federal program in Washington, DC. The role involves staying up to date on the most current developments in the generative AI space, deploying machine learning models and services on cloud platforms, and collaborating with cross-functional teams to integrate LLMs and RAG into broader projects. The engineer will manage large datasets, develop and maintain data pipelines, communicate technical concepts to non-technical stakeholders, conduct experiments to optimize model performance, and ensure code quality through best practices in software development.

  • Stay up to date on the most current developments in the generative AI space.
  • Deploy machine learning models and services on cloud platforms including AWS, Google, or Azure.
  • Collaborate with cross-functional teams, including data scientists, researchers, and other engineers, to integrate LLMs and RAG into broader projects.
  • Manage large datasets, including data cleaning, preprocessing, and transformation.
  • Develop and maintain data pipelines to ensure seamless data flow for model training and evaluation.
  • Communicate technical concepts and project progress to non-technical stakeholders and team.
  • Conduct experiments to fine-tune parameters and optimize model performance.
  • Implement techniques to improve the efficiency and scalability of LLM and RAG systems.
  • Monitor and maintain deployed models, ensuring reliability and performance benchmarks.
  • Ensure code quality by following best practices in software development, including version control, testing, and continuous integration/continuous deployment (CI/CD).
  • Document code and maintain comprehensive technical documentation to support team knowledge sharing and project handovers.
  • Bachelor's degree - Master's degree preferred.
  • Federal Client requires US Citizenship.
  • 10+ years of experience delivering production ready, industrial strength code, and implementing CI/CD pipelines.
  • Proficiency in Python and familiarity with libraries such as TensorFlow and PyTorch.
  • Extensive experience with neural network architectures, particularly transformers, and NLP techniques.
  • Understanding of Retrieval-Augmented Generation (RAG) and hands-on experience with implementing RAG solutions.
  • Proficiency in handling and preprocessing large datasets, as well as experience with data pipelining and ETL processes.
  • Experience with cloud platforms like AWS, Google Cloud, or Azure for deploying ML models.
  • Strong software engineering fundamentals, including version control, testing, and CI/CD.
  • Ability to design efficient algorithms for data retrieval and model training.
  • Hands-on experience with Python, PyTorch, TensorFlow, pandas, Scikit-learn, and other AI/ML libraries.
  • Experience with JavaScript and other object-oriented programming languages.
  • Familiarity with React.js and Cloud Architecture Frameworks such as AWS.
  • PTO including paid parental, military, and bereavement leave.
  • Eleven (11) paid Federal holidays, five of which are floating holidays.
  • Health and Dental Insurance (including 100% employer paid premiums for employee coverage under the HDHP health plan).
  • Life Insurance, STD/LTD term disability coverage, with employer paid premiums.
  • 401 (k) plan with a match that is 100% vested after you complete two years of service.
  • FSA/DFSA/HSA flexible benefit plans.
  • Annual Tuition & Professional Development Reimbursement benefit.
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