ZipRecruiter

Log In

1

Associate Artificial Intelligence Machine Learning Jobs in Kansas

WSU Tech

Faculty, Business & AI (12 mo)

Wichita, KS

$58K/yr

Coursework, certifications, or credentials related to Artificial Intelligence, Machine Learning, or Data Science. * Teaching experience in higher education. * Experience utilizing AI tools, business ...

New

WSU Tech

Faculty, Business & AI (12 mo)

Wichita, KS · On-site

$58K/yr

Coursework, certifications, or credentials related to Artificial Intelligence, Machine Learning, or Data Science. * Teaching experience in higher education. * Experience utilizing AI tools, business ...

New

WSU Tech

Faculty, Business & AI (12 mo)

Wichita, KS · On-site

$58K/yr

Coursework, certifications, or credentials related to Artificial Intelligence, Machine Learning, or Data Science. * Teaching experience in higher education. * Experience utilizing AI tools, business ...

New

MNF Global

Patent Agent

Overland Park, KS

$140K - $240K/yr

Preferred experience includes patent prosecution in Artificial Intelligence , Machine Learning , 5G-Telecom , Robotics and Semiconductor Manufacturing and Packaging, and Signal Processing. This ...

New

next page

Showing results 1-20

All JobsAssociate Artificial Intelligence Machine Learning JobsAssociate Artificial Intelligence Machine Learning Jobs in Kansas

Associate Artificial Intelligence Machine Learning information

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 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.

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 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 are the most commonly searched types of Artificial Intelligence Machine Learning jobs in Kansas? The most popular types of Artificial Intelligence Machine Learning jobs in Kansas are:
What job categories do people searching Associate Artificial Intelligence Machine Learning jobs in Kansas look for? The top searched job categories for Associate Artificial Intelligence Machine Learning jobs in Kansas are:
What cities in Kansas are hiring for Associate Artificial Intelligence Machine Learning jobs? Cities in Kansas with the most Associate Artificial Intelligence Machine Learning job openings:
Associate Artificial Intelligence Machine Learning jobs near you
Associate Artificial Intelligence Engineer

Associate Artificial Intelligence Engineer

Park Place Technologies

Kansas City, KS • On-site

Full-time

Posted 3 days ago

Park Place Technologies rating

7.6

Company rating: 7.6 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

92nd of 204 rated it services

Job description

Associate Artificial Intelligence Engineer

The Associate Artificial Intelligence Engineer is responsible for developing, implementing, and managing AI solutions and machine learning models that provide innovative, data-driven solutions to complex business challenges. This role will involve collaboration within and across multiple departments to build cutting-edge solutions that enhance decision-making capabilities and optimize business performance.

Responsibilities:

  • Understand business requirements, design, develop, and deploy scalable AI applications that aligned with business objectives.
  • Develop high-performing, reusable, and reliable code following industry standards and best practices.
  • Participate in all phases of the Software Development Life Cycle (SDLC), including requirement gathering, design, implementation, testing, deployment, documentation, and support.
  • Build pipelines leveraging tools such as Python, Spark, Azure ML, and OpenAI.
  • Collaborate with data analysts, data engineers, software engineers, and business analysts to translate business requirements into technical solutions.
  • Employ Azure DevOps and Git to ensure proper version control and adherence to CI/CD best practices.
  • Troubleshoot, analyze, and resolve AI performance issues and production problems.
  • Maintain up-to-date knowledge of advancements in AI, machine learning, and data engineering.
  • Actively participate in team meetings, contributing ideas and insights to drive continuous improvement.
  • Demonstrate strong problem-solving skills, excellent work ethic, and proactive attitude.
  • Create necessary documentation relating to work produced.

Basic Qualifications:

  • Bachelor’s degree or higher in Computer Science, AI, Data Science, or a related field, or equivalent experience.
  • At least 1 year of hands-on experience developing and deploying AI/machine learning solutions.
  • Development experience with Python programming (Spark, pandas, etc.) and SQL.
  • Solid understanding of AI methodologies, including supervised/unsupervised learning, regression analysis, and neural networks
  • Practical knowledge of cloud platforms, particularly Azure (Azure Synapse, Azure ML, Azure Data Factory, Azure Functions).
  • Experience with Visual Studio, Git, and Azure DevOps.
  • Familiarity with software development fundamentals such as SOLID principles, ObjectOriented design, DRY, and Domain Driven Design.
  • Strong communication skills, both written and verbal.

Preferred Qualifications:

  • Knowledge of Vibe Coding and familiarity with cutting-edge industry trends.
  • Exposure to Agile methodologies and Test Driven Development (TDD).

Travel:

  • Less than 5%

Apply