Machine Learning Engineer vacancy in Las-Vegas USA

Entry-Level Machine Learning Engineer
Profession: Machine Learning Engineer
City: Las Vegas, USA
Country: Preference for Nepali candidates


We are hiring an Entry-Level Machine Learning Engineer to join our growing team in Las Vegas. This is an exciting opportunity for someone with a strong passion for machine learning and a desire to grow their career in this field.

Responsibilities:
- Develop and implement machine learning algorithms and models.
- Collect, clean, and analyze large datasets.
- Collaborate with cross-functional teams to identify business problems and develop solutions using machine learning.
- Utilize machine learning techniques to improve existing products and services.
- Stay up-to-date with the latest advancements in machine learning and apply them to our projects.

Requirements:
- Bachelor's or Master's degree in Computer Science, Data Science, or a related field.
- Strong understanding of statistics, linear algebra, and probability theory.
- Proficiency in Python/R and experience working with libraries such as NumPy, Pandas, Scikit-Learn, etc.
- Familiarity with common machine learning algorithms such as regression, classification, clustering, etc.
- Ability to work independently and in a team environment.
- Strong problem-solving skills and attention to detail.

Additional Requirements:
- Nepali nationality preferred but not required.
- English proficiency is not required but considered a plus.
- No prior experience necessary; we are willing to train the right candidate.
- Accommodation will be provided for non-local candidates.
- Candidates must have their own valid work visa.

We are committed to providing equal employment opportunities without regard to race, color, religion, sex (including pregnancy), national origin, age, disability or genetic information. We value diversity at all levels of our organization and encourage candidates from all backgrounds to apply. If you are passionate about machine learning and eager to learn and grow in this field, we would love to hear from you!