HLT Developer
Nabout Leidos
United States
13 days ago
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Role details
Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
3 years minimum
Compensation
$131,300.0 - $237,350.0
Working hours
Regular working hours
Job source
Tech stack
LangGraph Framework
JavaScript (Programming Language)
Artificial Intelligence
Amazon Web Services
Bash Shell
Command-Line Interface
Data Files
Python (Programming Language)
PostgreSQL
Machine Learning
Machine Translation
Language Modeling
+21 more
NLTK (NLP Analysis)
Node.Js
Open Source Technology
Scrum Methodology
Query Optimization
Tensorflow
Software Engineering
SQL Databases
TypeScript
Software Distribution
Pytorch
ReactJS
Retrieval-Augmented Generation
Deep Learning
Indexer
Fastapi
Containerization
AI Platforms
Api Design
Spacy
Programming Languages
Requirements
- Active TS/SCI with Polygraph\n
- BS degree and at least 12 years of prior relevant experience or Masters with at least 10 years of prior relevant experience. May possess a Doctorate in technical domain.\n
- 3+ years of demonstrated knowledge of community translation fundamentals and standard operating procedures \n
- Recent experience deploying and training machine learning models.\n
- Proven ability to work independently and make good decisions with minimal direction.\n
- Experience working with large, complex data sets.\n
- Experience working with deep learning tools, like PyTorch or TensorFlow.\n
- Proficiency with modern programming languages such as Reactjs, Nodejs, JavaScript/TypeScript, Python, bash command-line tools.\n
- Proficiency with PostgreSQL and SQL database migrations, Schema design, indexing, query optimization.\n
- Knowledge of various machine learning methodologies and frameworks like NLTK or SpaCy.\n
- Solid understanding of linguistics, grammar, syntax, and the nuances of human language.\n
- Ability to analyze complex linguistic challenges and develop creative, technical solutions.\n
- Knowledge of and experience in prototyping/developing human language technology components/systems.\n
- Ability to apply state-of-the-art machine learning techniques to human language technology processing challenges.\n
- Excellent written and verbal communication skills to articulate challenging technical concepts to both lay and expert audiences.\n
- Strong interpersonal and cross-cultural communication skills to collaborate with diverse teams and users.\n
-
Develops solutions that are highly innovative and achieved through research and integration of best practices.\n, n \n \n
- Basic proficiency in one or more foreign languages\n
- Experience in greenfield software development, and building APIs (FastAPI for AI services)\n
- Experience training machine translation engineers and/or OCR language models\n
- Experience modifying open-source code to fit specific use cases\n
- Experience training and fine-tuning AI models\n
- Experience gathering / creating AI training data sets\n
- Knowledge of containerization for software distribution across diverse system environments\n
- Experience working with Agile Scrum Development\n
- Experience supporting and optimizing AI production applications, RAG pipelines, LangChain / LangGraph for agentic workflows\n
- Experience working with AWS cloud computing solutions.\n
Benefits & conditions
- Develop applications, writing and maintaining source code, applying frameworks involved in a software release, developing APIs to improve workflow and integrate new resources into existing HLT / AI tools.\n
- Design bespoke technical solutions to process challenging or unfamiliar data types.\n
- Recommend, develop, evaluate, and integrate Human Language Technology (HLT) capabilities\n
- Provide technical leadership to cross-functional teams in developing AI and HLT solutions.\n
- Analyze language processing needs and recommend innovative solutions for cost and labor efficiency.\n
- Innovate and prototype HLT systems or components based on priority workflow and operational mission needs.\n
- Recommends and develops new technical solutions, products, and/or standards in support of program strategy and operations.\n
- Evaluate technology solutions in the context of mission data and workflow needs, providing actionable recommendations.\n
- Convey complex ideas to non-technical audiences through briefings and/or white papers.\n
- Be a leading voice on HLT within the customer and Leidos organization.\n
- Be an HLT mentor to all new program employees.\n
- Integrate Leidos technology to program HLT efforts as appropriate.\n
- Work across the program and with the customer to ensure consistent, quality translation, interpretation, and transcription support through HLT initiatives.\n
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