ML Engineer – Las Vegas | Visa Sponsorship Included

NexaVision; Las Vegas (NV); On-site; USD 13,000 - 16,000; Full time

Benefits offered by this job

Free visa sponsorship

Airfare for international candidates

Job summary

NexaVision in Las Vegas is seeking a highly skilled Machine Learning Engineer to develop and implement ML models that analyze large datasets and power our products and services. You will work closely with data scientists and software engineers to design, build, and deploy scalable ML solutions.

The ideal candidate has a strong background in computer science, mathematics, and statistics, with hands-on experience in Python and R, and a track record of delivering actionable ML insights in a

Qualifications

• Bachelor's or Master’s degree in Computer Science, Mathematics, Statistics, or related field.
• Minimum of 2 years of experience in machine learning or data science.
• Strong understanding of machine learning techniques such as regression, clustering, classification, neural networks.
• Proficiency in programming languages such as Python and R.
• Experience with deep learning frameworks such as TensorFlow or PyTorch.
• Knowledge of database systems and SQL.
• Ability to work with large datasets and perform data wrangling tasks.
• Excellent problem‑solving skills
• Strong communication skills and ability to work well in a team environment

Responsibilities

• Develop and implement machine learning algorithms and models.
• Collaborate with data scientists and software engineers to design, build, and deploy ML solutions.
• Analyze large datasets to extract valuable insights.
• Contribute to product and service improvements through ML capabilities

Skills

Strong communication

Teamwork

Problem solving

Data analysis

Education

Bachelor’s or Master's degree in CS/Math/Stats

Tools

Python

R

TensorFlow

PyTorch

SQL

Job description

NexaVision in Las Vegas is seeking a highly skilled Machine Learning Engineer to develop and implement ML models that analyze large datasets and power our products and services. You will work closely with data scientists and software engineers to design, build, and deploy scalable ML solutions.

The ideal candidate has a strong background in computer science, mathematics, and statistics, with hands-on experience in Python and R, and a track record of delivering actionable ML insights in a