AI/ML Software Engineer
2 weeks ago
The AI/ML Engineer will develop algorithms, write scripts, build predictive analytics, use automation, apply machine learning and use the right combination of tools and frameworks to turn a set of data points into objective answers to help senior leadership make informed decisions. The Data Scientist will apply data mining techniques perform statistical analysis, and build high-quality prediction models. The Data Scientist's ability to obtain data through advanced computerized models and extrapolation of data patterns through advanced algorithms to explain how the information will influence the specific project will be an essential function to providing customers a better comprehension of the data.
The AI/ML Engineer will work closely with customer management, other project managers, system architects, data scientists, data engineers, and machine learning engineers to formulate recommendations for enhancements and improvements geared towards utilizing innovative engineering solutions.
KEY RESPONSIBILITIES:
- Develop and train Large Language Models (LLMs) in support of the customer mission
- Investigate business area processes for creative implementation of LLMs
- Apply data mining techniques to perform statistical analysis
- Assists with technical planning activities, including roadmap development and systems integration.
- Collaborates with a variety of customers and contractors on a regular basis, which may include technical consultation, meeting coordination and support (e.g., TEMs), and preparation/support of technical briefings.
- Participates in the development of technical project plans, reports, and contract (e.g., PMR) briefings.
REQUIRED KNOWLEDGE/SKILLS:
- Candidate must have an active TS/SCI with a Full Scope Polygraph
- Bachelor's degree in Computer Science, Electrical or Computer Engineering, or other related technical discipline with 10+ years of equivalent experience.
- Minimum 10 years of related software engineering experience
- Familiarization with Large Language Model (LLM) architectures and training procedures
- Experience with search architecture tools (ex - Solr, ElasticSearch)
- Big Data Frameworks such as Spark or Hadoop
- Data Science frameworks such as Keras, Tensorflow, or Theano
- Experience with building querying ontologies such as Zeno, OWL, RDF, SparQL
- Experience with GPU processing
- Experience with word2vec or doc2vec algorithms
- Proficient in Java and Python
- Must know to use an IDE to code (ex - Visual Studio Code, IntelliJ, Eclipse, NetBeans)
- Experience with interacting in a Linux environment (ex - Bash scripting, VI)
- Intrapersonal communication skills
- Ability to work well in a constantly evolving work environment
- Familiarity with Source code management and integration (ex - GitHub/GitLab, Jenkins)
- Hands on experience with cloud technology (AWS / C2S)
- Experience in an Agile environment
- Experience with testing frameworks (ex - Junit, Mockito, Swagger, Postman)
- Experience with relational databases (ex - Oracle / MySql)
- Experience with JavaScript / Typescript
- Experience with front end development (ex - Angular 2+, React, HTML, CSS, JQuery)
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