AI/ML Analyst in Las Vegas, NV

AI/ML Analyst Job Description

The AI/ML analyst uses artificial intelligence and machine learning technologies to drive business value and innovation within an organization. The analyst is responsible for developing, implementing and maintaining AI and ML models that address complex business problems and enhance decision-making processes. They work closely with cross-functional teams to identify opportunities for AI/ML applications, gather and preprocess data, select appropriate algorithms, and evaluate model performance. A strong foundation in statistics, programming, and data manipulation is essential, as is the ability to communicate complex technical concepts to nontechnical individuals. Typically, an AI/ML analyst holds a bachelor’s or master’s degree in computer science, data science, or a related field, with two to five years of experience in AI/ML projects. Proficiency in programming languages like Python or R, familiarity with ML frameworks like TensorFlow or PyTorch, and experience with cloud-based ML services are highly valued.

Typical duties include:

Developing and implementing machine learning models to solve business problems

Collecting, cleaning, and preprocessing large datasets for analysis and model training

Performing feature engineering to improve model performance

Evaluating and fine-tuning models to ensure accuracy and efficiency

Collaborating with business units to identify opportunities for AI/ML applications

Creating data visualizations and reports to communicate insights to stakeholders

Staying current with the latest developments in AI/ML technologies and methodologies

Looking for an AI/ML analyst or an AI/ML analyst job?

Submit your resume or request talent now and our expert recruiters will be with you shortly.

Robert Half can assist you with your AI/ML analyst staffing needs.

Salary for AI/ML Analyst in Las Vegas, NV

126405 - 179140

25th percentile

126405

The candidate is new to the role and building the needed skills, experience and autonomy.

50th percentile

151580

The candidate has the experience to perform core responsibilities without direct supervision and is comfortable with the role’s processes and subject matter.

75th percentile

179140

The candidate delivers value beyond the stated job duties, has advanced qualifications and experience, and is ready for the next career level.

Projected salaries for related positions

Position title

25th percentile

50th percentile

75th percentile

AI Architect

147605

181260

204580

Machine Learning Engineer

136475

173310

196895

Data Scientist

129055

156615

181260

Hiring? Start here.

Access millions of skilled contract and permanent candidates at every level from support roles to C-suite, and pinpoint the talent you need using our industry-leading matching technology.

Find your next hire