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Machine Learning Engineer
Job in
Las Vegas, Clark County, Nevada, 89105, USA
Listed on 2026-07-13
Listing for:
UrbanForm Developments
Full Time
position Listed on 2026-07-13
Job specializations:
-
Software Development
Machine Learning/ ML Engineer
Job Description & How to Apply Below
Location:
Las Vegas, USA
We are seeking a highly motivated and skilled Machine Learning Engineer to join our team in Las Vegas. As a Machine Learning Engineer you will be responsible for developing and implementing machine learning algorithms and models to solve complex business problems. You will work closely with cross‑functional teams to gather data, analyze it and provide insights that drive decision making.
Key Responsibilities- Develop and implement machine learning algorithms and models.
- Collaborate with data scientists and analysts to gather data and define problem statements.
- Clean, preprocess and analyze large datasets using tools like Python, R or SQL.
- Design experiments to test hypotheses and validate model performance.
- Deploy models into production environments.
- Monitor model performance and make necessary improvements.
- Stay up‑to‑date with the latest advancements in machine learning techniques.
- Bachelor’s degree in Computer Science, Mathematics, Statistics or related field;
Master’s degree preferred. - Minimum of 2 years of experience as a Machine Learning Engineer or Data Scientist.
- Strong programming skills in languages such as Python, R or Java.
- Experience with machine learning frameworks such as Tensor Flow, PyTorch or Keras.
- Familiarity with big data technologies such as Hadoop or Spark.
- Ability to work independently as well as collaboratively in a team environment.
- Excellent problem‑solving skills and analytical thinking.
- Competitive salary package of $1,800.
- Opportunity to work on cutting‑edge projects in a fast‑paced environment.
- Friendly and collaborative team culture.
- Part‑time options available for students or individuals without experience.
If you are passionate about leveraging the power of machine learning to drive business solutions and have the required skills and experience, we encourage you to apply for this exciting opportunity.
Note that accommodation is not provided for this position.
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