Leidos
Overview
Senior Python AI/ML Developer (SWE-3)
at
Leidos
— National Security Sector's (NSS) Cyber & Analytics Business Area (CABA). Our LOE program provides our customer\'s Operations organization with the best possible solutions for their mission needs through rapid prototyping, new development, and advanced technology research. We focus on collaboration and a fast-paced environment to grow skills and make a real impact. This role involves supporting the Corporate Discovery Services mission by capturing requirements, developing innovative prototypes, deploying solutions, and evaluating and tuning machine learning models to integrate, reference, infer, and consolidate data into a holistic view. Responsibilities
Mission Focus: Collaborate with customers to enable acceleration in evaluating and tuning machine learning models for data integration, reference, inference, and holistic data consolidation. Technical Proficiency: Creatively write and evolve prototype techniques using diverse architectures and methods. Provide database administration, dataflow engineering, data wrangling, and model development. Security Clearance: Candidates must possess an active TS/SCI with Polygraph to be considered for this role. Desirable Skills: 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). Qualifications
Bachelor’s degree in computer science or related technical field plus a minimum of eight (8) years of relevant experience or equivalent. Proficiency with Python (e.g., SciKit-learn, TensorFlow, PyTorch), R, GIT, and experience with Jupyter Notebooks. Experience with relational databases and TensorFlow. Compensation
Base pay range : $104,650.00/yr - $189,175.00/yr Employment details
Employment type: Full-time Seniority level: Mid-Senior level Job function: IT Services and IT Consulting
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Senior Python AI/ML Developer (SWE-3)
at
Leidos
— National Security Sector's (NSS) Cyber & Analytics Business Area (CABA). Our LOE program provides our customer\'s Operations organization with the best possible solutions for their mission needs through rapid prototyping, new development, and advanced technology research. We focus on collaboration and a fast-paced environment to grow skills and make a real impact. This role involves supporting the Corporate Discovery Services mission by capturing requirements, developing innovative prototypes, deploying solutions, and evaluating and tuning machine learning models to integrate, reference, infer, and consolidate data into a holistic view. Responsibilities
Mission Focus: Collaborate with customers to enable acceleration in evaluating and tuning machine learning models for data integration, reference, inference, and holistic data consolidation. Technical Proficiency: Creatively write and evolve prototype techniques using diverse architectures and methods. Provide database administration, dataflow engineering, data wrangling, and model development. Security Clearance: Candidates must possess an active TS/SCI with Polygraph to be considered for this role. Desirable Skills: 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). Qualifications
Bachelor’s degree in computer science or related technical field plus a minimum of eight (8) years of relevant experience or equivalent. Proficiency with Python (e.g., SciKit-learn, TensorFlow, PyTorch), R, GIT, and experience with Jupyter Notebooks. Experience with relational databases and TensorFlow. Compensation
Base pay range : $104,650.00/yr - $189,175.00/yr Employment details
Employment type: Full-time Seniority level: Mid-Senior level Job function: IT Services and IT Consulting
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