Leidos-posted 3 months ago
$104,650 - $189,175/Yr
Full-time • Senior
Fort Meade, MD
Professional, Scientific, and Technical Services

Leidos has a new and exciting opportunity for a Senior Python AI/ML Developer in our National Security Sector's (NSS) Cyber & Analytics Business Area (CABA). Our talented team is at the forefront in Security Engineering, Computer Network Operations (CNO), Mission Software, Analytical Methods and Modeling, Signals Intelligence (SIGINT), and Cryptographic Key Management. At Leidos, we offer competitive benefits, including Paid Time Off, 11 paid Holidays, 401K with a 6% company match and immediate vesting, Flexible Schedules, Discounted Stock Purchase Plans, Technical Upskilling, Education and Training Support, Parental Paid Leave, and much more. Join us and make a difference in National Security! Our LOE program provides our customer's Operations organization with the best possible solutions for their mission needs. We achieve this through rapid prototyping, new development, and advanced technology research. From leading-edge visualizations to analytic development, we're always pushing the boundaries to find new and better data sources and tradecraft to answer intelligence questions. With a focus on collaboration and a fast-paced environment, our prototype development program is the ideal place to grow your skills and make a real impact.

  • Collaborate closely with customers to enable acceleration to evaluate and tune machine learning models' ability to integrate, reference, make inferences and consolidate data into a holistic view.
  • Creatively write and evolve prototype techniques leveraging diverse architecture and methods.
  • Provide database administration, dataflow engineering, data wrangling, and model development.
  • Bachelor's degree in computer science or related technical field plus a minimum of eight (8) plus years of relevant experience or equivalent.
  • Proficiency with Python (i.e. SciKit-learn, TensorFlow, PyTorch), R, GIT and experience with Jupyter Notebooks.
  • Ability to provide database administration for relational databases and TensorFlow.
  • Candidates must possess an active TS/SCI with Polygraph to be considered for this role.
  • Proficiency in augmenting, providing context, and/or fine-tuning large language models for generative tasks using approaches such as retrieval augmented generation (RAG) and model context protocol (MCP).
  • Paid Time Off
  • 11 paid Holidays
  • 401K with a 6% company match and immediate vesting
  • Flexible Schedules
  • Discounted Stock Purchase Plans
  • Technical Upskilling
  • Education and Training Support
  • Parental Paid Leave
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