Leidos · 8 hours ago
GenAI Developer Intern
United States
Internship
Remote
Intern
$45K/yr - $81K/yr
Maximize your interview chancesComputerGovernment
No H1B
Security Clearance Required
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Responsibilities
Work with Large Language Models (LLMs) to develop and fine-tune models for specific tasks
Design and optimize prompts for LLMs to achieve desired outcomes
Experiment with different prompt engineering techniques to improve model performance
Design and develop machine learning models using Python programming language
Deploy solutions in distributed and cloud environments
Analyze and optimize existing machine learning models and big-data applications
Perform text analytics, log analysis, and issue resolution
Collaborate with cross-functional teams to guide business decisions
Develop strong scripting skills in Python using Linux/Windows environments
Qualification
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Required
Currently pursuing a degree in Computer Science, AI, or related field
Strong foundation in machine learning, deep learning, and programming languages (Python) and using iPython notebooks
Basic understanding of LLMs and prompt engineering concepts.
Familiarity with popular LLM frameworks and libraries (e.g. Hugging Face Transformers)
Experience in one or more areas of machine learning / artificial intelligence such as classifications, NLP, Anomaly Detection, Sentiment Analysis, and Clustering
Experience in using deep learning frameworks such as TensorFlow, NLTK, PyTorch or Keras, etc.
Experience in solving NLP problems such as text categorization, text clustering/topic modeling, entity extraction, text summarization, etc.
Experience in developing and managing pipelines using Databricks, manage user workspaces, notebooks, clusters.
Proficient in traditional databases (MS-SQL) with T-SQL, including writing optimized SQL queries.
Excellent communication skills to communicate with wide technical and business users
Demonstrate ability to build full stack systems architected for speed and distributed computing.
Demonstrate ability to quickly learn new tools and paradigms to deploy cutting edge solutions
Adept at simultaneously working on multiple projects, meeting deadlines, and managing expectations
Ability to obtain and maintain a Public Trust clearance - US citizenship or permanent residency required.
Preferred
Experience with prompt engineering techniques such as few-shot learning, zero-shot learning, and chain-of-thought prompting.
Knowledge of LLM architectures such as transformer-based models and recurrent neural networks
Experience or understanding in as AWS Bedrock, AWS SageMaker, Azure Machine Learning Studio, or similar ML/DS platform.
Familiarity with GenAI and experience applying Large Language Models (LLMs) to unstructured data.
Good exposure to cloud technologies such as AWS S3, Lambda functions, or Azure Data lake etc.
Familiarity with version control systems, specifically Git, and experience with platforms like Azure DevOps.
Knowledge of parallel computing approaches such as use of GPU parallelization is highly desirable
Develop both deployment architecture and scripts for automated system deployment in AWS or on-premise systems.
Proficient in Linux and AWS CLI, with hands-on experience in using these tools.
Company
Leidos
Leidos is a Fortune 500® innovation company rapidly addressing the world’s most vexing challenges in national security and health.
Founded in 1969
10,001+ employees
Funding
Current Stage
Public CompanyTotal Funding
unknown2013-09-17IPO· undefined
Leadership Team
Kirk Smedley
Chief Technology Officer, Spatial Solutions
Amy Smith
Senior Vice President, Government Affairs
Recent News
2024-11-19
2024-11-16
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