GenAI / Machine Learning / Python Engineer - USC / Green Card / H4 EAD
Pittsburgh, Pennsylvania, United StatesAll locationsPittsburgh, Pennsylvania, United StatesOpen to Relocation Anywhere in the United StatesWilmington, North Carolina, United StatesWeehawken, New Jersey, United StatesWaukesha, Wisconsin, United StatesSunnyvale, California, United StatesSeattle, Washington, United StatesScottsdale, Arizona, United StatesSacramento, California, United StatesRiverwood, Illinois, United StatesRichmond, Virginia, United StatesRemote, New York, United StatesRemote, Dallas, Texas, United StatesRedmond, Washington, United StatesTemple, Texas, United StatesPhoenix, Arizona, United StatesNew York, United StatesNewton, Massachusetts, United StatesCincinnati, Ohio, United StatesMorton Grove, Illinois, United States Remote
$62,400–$93,600 a yearJobFig found this opening at its original source and checks that it remains available.
About the role
We are looking for a skilled GenAI / Machine Learning / Python Engineer with 2–6 years of professional experience to join a growing technology team. The ideal candidate will have strong Python and Machine Learning fundamentals, along with hands-on experience building AI/ML solutions and an interest in Generative AI and emerging AI technologies. This opportunity is well suited for professionals who have worked on real-world AI/ML projects and are looking to contribute to production-focused solutions involving Machine Learning, Generative AI, LLMs, and data-driven applications.
What you'll bring
- 2–6 years of professional experience
- in Machine Learning, Data Science, Artificial Intelligence, GenAI, or a closely related field.
- Strong programming experience with Python.
- Solid understanding of Machine Learning concepts and algorithms.
- Hands-on experience developing and evaluating Machine Learning models.
- Experience working with data preprocessing, feature engineering, and exploratory data analysis.
- Strong understanding of SQL and data manipulation.
- Experience with commonly used Python libraries such as Pandas, NumPy, Scikit-learn, or similar.
- Strong analytical and problem-solving skills.
- Ability to work effectively in a collaborative team environment.
- US Citizens (USC)
- H4 EAD holders