Jobs / TEC***
AI Engineer
TEC*** · Pittsburgh, PA, United States
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Pittsburgh, PA, United States100,000-120,000 USD/yearlyOnsite
Remuneration
100,000-120,000 USD/yearly
Location
Pittsburgh, PA, United States
Visa sponsorship
Sponsors visa
Job summary
ROLE OVERVIEW WE ARE SEEKING A JUNIOR AI ENGINEER WHO IS PASSIONATE ABOUT ARTIFICIAL INTELLIGENCE AND EAGER TO LAUNCH THEIR CAREER BUILDING INNOVATIVE AI SOLUTIONS. THIS IS AN EXCELLENT OPPORTUNITY FOR A RECENT MASTER'S GRADUATE WHO HAS A STRONG TECHNICAL FOUNDATION, ENJOYS SOLVING COMPLEX PROBLEMS, AND IS EXCITED TO LEARN FROM EXPERIENCED ENGINEERS IN A COLLABORATIVE ENVIRONMENT.
Benefits
And other terms and conditions of employment.M9OKMtbfBC
Qualifications
- THIS IS AN EXCELLENT OPPORTUNITY FOR A RECENT MASTER'S GRADUATE WHO HAS A STRONG TECHNICAL FOUNDATION, ENJOYS SOLVING COMPLEX PROBLEMS, AND IS EXCITED TO LEARN FROM EXPERIENCED ENGINEERS IN A COLLABORATIVE ENVIRONMENT.
- Master's degree in Artificial Intelligence, Computer Science, Data Science, Machine Learning, Software Engineering, or a related technical discipline.
- Strong understanding of machine learning fundamentals and AI concepts.
- Experience developing projects using Python.
- Knowledge of libraries such as TensorFlow, PyTorch, Scikit-learn, LangChain, or similar AI frameworks.
- Familiarity with Large Language Models (LLMs) and Generative AI concepts.
- Understanding of REST APIs and software development best practices.
- Experience using Git or other version control systems.
- Strong analytical and problem-solving
- Academic or personal projects involving LLMs, AI agents, RAG, or Generative AI.
- Familiarity with cloud platforms such as Microsoft Azure, AWS, or Google Cloud.
- Experience using vector databases or embeddings.
Responsibilities
- YOU WILL WORK ALONGSIDE DATA SCIENTISTS, SOFTWARE ENGINEERS, AND BUSINESS STAKEHOLDERS TO DEVELOP, TEST, AND DEPLOY AI-POWERED APPLICATIONS THAT SOLVE REAL BUSINESS CHALLENGES.
- Assist in the design, development, testing, and deployment of AI and machine learning solutions.
- Build and evaluate machine learning models using structured and unstructured data.
- Develop applications leveraging Large Language Models (LLMs) and Generative AI
Skills
Communication
Degrees
AssociateDegreeMaster
Industry
AutomotiveDefenseEnergyPublic-sector
Company size
EnterpriseSmb
Relocation
Yes