ZipRecruiter

Log In

1

Associate Artificial Intelligence Machine Learning Jobs

next page

Showing results 1-20

All JobsTechnology JobsData JobsData Scientist JobsAssociate Artificial Intelligence Machine Learning Jobs

Associate Artificial Intelligence Machine Learning information

See salary details

$31.5K

$133.1K

$314.5K

How much do associate artificial intelligence machine learning jobs pay per year?

As of Aug 17, 2026, the average yearly pay for associate artificial intelligence machine learning in the United States is $133,062.00, according to ZipRecruiter salary data. Most workers in this role earn between $46,000.00 and $202,000.00 per year, depending on experience, location, and employer.

What does an Associate Artificial Intelligence Machine Learning professional do?

An Associate Artificial Intelligence Machine Learning (AI/ML) professional assists with the development, testing, and deployment of AI and machine learning models. They typically work under the supervision of senior data scientists or machine learning engineers, helping to preprocess data, select algorithms, and evaluate model performance. Their responsibilities may also include writing code, analyzing results, and supporting the integration of models into applications or systems. This entry-level role is ideal for those who have foundational knowledge in AI/ML concepts and are looking to gain practical, hands-on experience in the field.

What are the key skills and qualifications needed to thrive as an Associate Artificial Intelligence Machine Learning professional, and why are they important?

To thrive as an Associate Artificial Intelligence Machine Learning professional, you need a solid background in mathematics, statistics, and computer science, typically with a relevant degree and familiarity with machine learning concepts. Proficiency in programming languages like Python or R, experience with frameworks such as TensorFlow or PyTorch, and knowledge of version control systems are commonly required. Strong problem-solving, analytical thinking, and effective communication skills help differentiate top performers in this role. These skills are crucial for developing accurate models, collaborating with multidisciplinary teams, and driving impactful AI solutions.

What are some common challenges faced by Associate Artificial Intelligence Machine Learning professionals in their first year, and how can they overcome them?

Associate AI/ML professionals often encounter challenges such as understanding complex datasets, adapting to rapidly evolving tools and frameworks, and bridging the gap between theoretical knowledge and practical application. Collaborating closely with senior team members, seeking mentorship, and participating in code reviews are effective ways to overcome these challenges. Additionally, staying updated with industry trends and continuously practicing model building on real-world problems can help associates gain confidence and accelerate their learning curve.

What is the difference between Associate Artificial Intelligence Machine Learning vs Data Scientist?

AspectAssociate Artificial Intelligence Machine LearningData Scientist
Required CredentialsBachelor's in CS, AI, or related; certifications in ML/AIBachelor's/Master's in CS, Statistics, or related; often advanced degrees
Work EnvironmentTech companies, R&D labs, startupsData-driven organizations, consulting firms, tech companies
Employer & Industry UsageAI/ML teams, product developmentData analysis, predictive modeling, business insights
Common Search & ComparisonYesYes

Associate Artificial Intelligence Machine Learning roles focus on developing and implementing AI/ML models, often with entry-level responsibilities. Data Scientists analyze data to extract insights, build predictive models, and support decision-making. While both roles require knowledge of programming and statistics, Data Scientists typically have more advanced degrees and focus on data analysis, whereas Associate AI/ML roles are more specialized in AI/ML model development.

More about Associate Artificial Intelligence Machine Learning jobs

What cities are hiring for Associate Artificial Intelligence Machine Learning jobs?

Cities with the most Associate Artificial Intelligence Machine Learning job openings:

What are the most commonly searched types of Artificial Intelligence Machine Learning jobs?

The most popular types of Artificial Intelligence Machine Learning jobs are:

What states have the most Associate Artificial Intelligence Machine Learning jobs?

States with the most job openings for Associate Artificial Intelligence Machine Learning jobs include:

What job categories do people searching Associate Artificial Intelligence Machine Learning jobs look for?

The top searched job categories for Associate Artificial Intelligence Machine Learning jobs are:

Associate Artificial Intelligence Machine Learning jobs near you
Infographic showing various Associate Artificial Intelligence Machine Learning job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 23% Part Time, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $133,062 per year, or $64 per hour.

Artificial Intelligence/Machine Learning Engineer

PROLIM Global Corporation

Austin, TX • On-site

Full-time

Posted 28 days ago

Job description

PROLIM Global Corporation (www.prolim.com) is hiring an Artificial Intelligence/Machine Learning Engineer 1 for a leading Government Client.
Job Title: Artificial Intelligence/Machine Learning Engineer
Location: Austin, TX - Hybrid - Onsite and Telework
Duration: 12 Months (Extendable)
Job Summary
We are seeking an experienced Artificial Intelligence/Machine Learning Engineer to support enterprise-level artificial intelligence initiatives. The ideal candidate will provide specialized expertise in AI solution development, enterprise search implementation, AI agent deployment, AI inventory management, and AI governance processes.
This role will support critical AI transformation initiatives, including improving information retrieval capabilities, implementing AI monitoring solutions, developing AI-powered automation agents, and establishing governance standards aligned with cybersecurity, privacy, and technology compliance requirements.
Key Responsibilities
  • Build and deploy components of enterprise search solutions to improve information discovery and retrieval.
  • Assist with configuration, implementation, rollout, and documentation of AI inventory management systems.
  • Support the development, testing, and deployment of AI agents aligned with business unit requirements.
  • Develop technical controls, documentation, and processes supporting AI governance adoption.
  • Collaborate with technical teams and business stakeholders to implement AI-driven solutions.
  • Support AI model integration, testing, monitoring, and operationalization activities.
  • Assist in establishing AI governance frameworks, standards, and compliance processes.
  • Document AI workflows, technical processes, system configurations, and implementation procedures.
  • Analyze business requirements and translate them into AI/ML technical solutions.
  • Support troubleshooting and continuous improvement of AI systems and applications.

Required Skills & Qualifications
  • 1+ year of experience building and deploying components of enterprise search tools.
  • 1+ year of experience configuring, implementing, and documenting AI inventory systems.
  • 1+ year of experience supporting implementation and testing of AI agents.
  • 1+ year of experience developing technical controls, documentation, and processes for AI governance adoption.
  • Experience with Artificial Intelligence and Machine Learning concepts, tools, and implementation practices.
  • Experience supporting enterprise AI initiatives and technology transformation projects.
  • Knowledge of AI governance, cybersecurity, privacy, and compliance requirements.
  • Experience with AI solution documentation and technical process development.
  • Ability to collaborate with cross-functional teams to deliver AI-driven solutions.
  • Strong analytical, problem-solving, and technical communication skills.

Preferred Qualifications
  • Experience supporting government or public sector AI initiatives.
  • Experience implementing enterprise search platforms.
  • Experience working with AI inventory, monitoring, and governance platforms.
  • Experience developing AI agents and automation solutions.
  • Experience supporting large-scale enterprise technology environments.

Interested Candidates
Please send your updated resume and contact details to: anand.kanavalli@prolim.com
About PROLIM Corporation
PROLIM is a leading provider of end-to-end IT, PLM, and Engineering Services and Solutions for Global 1000 companies. We understand business as much as technology and help our customers improve profitability and efficiency through high-value consulting, staffing, engineering, and project management services.
Our offerings include Advisory Services, PLM Software & Services, Program Management, Solution Architecture, Training & Staffing, Cloud Solutions, Infrastructure Services, ERP Practices, Quality Assurance Services, and Engineering Services across a wide range of industries.

Apply