ZipRecruiter

Log In

1

Associate Artificial Intelligence Machine Learning Jobs in Kansas

Whiterabbit.ai

... with artificial intelligence. We collaborate closely with one of the top medical schools in the ... Learn and understand a large body of research in deep learning and machine learning * Participate ...

New

Whiterabbit.ai

... with artificial intelligence. We collaborate closely with one of the top medical schools in the ... Learn and understand a large body of research in deep learning and machine learning * Participate ...

New

Whiterabbit.ai

... with artificial intelligence. We collaborate closely with one of the top medical schools in the ... Learn and understand a large body of research in deep learning and machine learning * Participate ...

New

Whiterabbit.ai

... with artificial intelligence. We collaborate closely with one of the top medical schools in the ... Learn and understand a large body of research in deep learning and machine learning * Participate ...

New

Whiterabbit.ai

... with artificial intelligence. We collaborate closely with one of the top medical schools in the ... Learn and understand a large body of research in deep learning and machine learning * Participate ...

New

Amgen

$78K - $107K/yr

Machine Learning Scientist What you will do Let'sdo this.Let'schange the world.Within Amgen ... and 4 years ofmachine learningexperience OR Associate's degree and 8 years ...

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 are popular job titles related to Associate Artificial Intelligence Machine Learning jobs in Kansas? For Associate Artificial Intelligence Machine Learning jobs in Kansas, the most frequently searched job titles 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
Director Artificial Intelligence

Director Artificial Intelligence

ORANGE EV LLC

Kansas City, KS • On-site

Full-time

Re-posted 25 days ago

Job description

Join Orange EV, a fast-growing manufacturer of electric vehicles that are better for the earth, people and the bottom line. Make a difference for the world as part of a company leading the electric vehicle revolution.

Position Summary

Orange EV is a technology-forward OEM seeking a Director of Artificial Intelligence to serve as the company's AI authority and strategic enabler. This is a role reporting directly to the CEO, designed to ensure our internal leaders can move quickly and confidently with AI — while protecting the company's data, systems, reputation, and competitive position. This is not a role built primarily around building a large team or running large-scale engineering projects. It is a role built around enabling speed with guardrails — empowering every business function to leverage AI effectively, responsibly, and in alignment with company strategy. As the company grows, limited supervisory responsibilities may develop, but the core mission is always to make the business faster and smarter, safely.

The Opportunity

This is a rare opportunity to shape how a growing, technology-driven OEM harnesses AI across its entire enterprise. You will work at the intersection of strategy, operations, and technology — with direct access to the CEO and the ability to influence how the company competes and grows. Specifically, you will:

  • Define the AI governance framework that gives business leaders the confidence to move fast without undue risk
  • Be the trusted advisor who translates AI possibilities into practical, high-impact business decisions
  • Operate as a hands-on strategist — more architect and guide than manager
  • Build the foundation of an AI-capable culture in a company with the technical DNA to embrace it


Position Responsibilities

AI Strategy & Governance

  • Develop and own the company-wide AI strategy, roadmap, and governance framework — aligned to business objectives and the realities of an OEM operating environment
  • Establish clear AI policies, guardrails, and decision-making frameworks that enable internal leaders to move fast while protecting company data, IP, and regulatory standing
  • Define acceptable use standards for AI tools, platforms, and third-party integrations across all departments
  • Advise the CEO and executive team on AI trends, risk, and competitive implications specific to OEM and manufacturing-adjacent sectors

Enablement & Implementation

  • Partner with department heads across engineering, operations, supply chain, sales, finance, and HR to identify and prioritize high-value AI use cases
  • Lead the total Orange EV Team in an ongoing effort to begin to implement AI Vibe Coding projects that have ROI
  • Lead evaluation and selection of AI tools, platforms, and vendors — ensuring fit, security, and scalability
  • Guide proof-of-concept initiatives through to scaled deployment, ensuring business outcomes are realized and documented
  • Serve as the primary point of escalation when AI projects surface compliance, data privacy, or ethical concerns

Internal Capability & Culture

  • Design and deliver AI literacy programs to help business leaders understand what AI can and cannot do — and how to use it responsibly
  • Translate complex AI concepts into plain-language guidance that non-technical leaders can act on confidently
  • Champion responsible AI practices across the organization, building trust in AI outputs and processes
  • May supervise a small team of AI-focused staff as the company's AI program matures; initial scope is individual contributor with strategic influence


Position Qualifications

  • 5+ years of progressive experience in AI strategy, data science, machine learning, or enterprise technology leadership
  • Demonstrated success designing and implementing AI governance frameworks, acceptable use policies, or enterprise AI risk management programs
  • Strong business acumen — able to tie AI decisions directly to operational outcomes, margin, compliance, and competitive positioning
  • Proven ability to enable and guide non-technical business leaders through AI adoption, not just oversee technical builds
  • Experience operating effectively as an individual contributor with executive-level influence in a fast-moving, resource-conscious organization
  • Exceptional communication skills — able to simplify complex AI topics for a CEO, a plant manager, and a legal team equally


Ideal Candidates Will Also Have

  • Background in OEM, manufacturing, engineered products, or technology-intensive product companies
  • Familiarity with ERP platforms, PLM systems, supply chain software, or industrial data environments
  • Experience with AI regulatory and compliance topics including data privacy (GDPR, CCPA), export controls, or product liability considerations relevant to manufactured goods
  • Exposure to responsible AI standards, AI ethics frameworks, or enterprise AI audit practices
  • Advanced degree in Computer Science, Data Science, Engineering, or equivalent experience in a technology-forward industry environment


What Success Looks Like

In the first 90 days:

  • Complete AI readiness and risk assessment across all major business functions
  • Draft a foundational AI Acceptable Use Policy and governance framework for executive review
  • Identify the top 3–5 AI opportunities with the highest near-term business impact and lowest governance risk
  • Complete the implementation of AI Vibe Coding project within 10 weeks


In year one:

  • Governance framework is adopted and actively used by internal leaders as a decision-making tool, not a bottleneck
  • At least three AI initiatives are live, with documented ROI or operational improvement
  • Improve the efficiency of Orange EV within 6 months through the implementation of AI Vibe Coding
  • Department leaders describe the Director of AI as a trusted partner who helps them move faster — not a gatekeeper who slows them down


Orange EV is an Equal Opportunity Employers and seek diversity in candidates for employment.

EEO Employer W/M/Vet/Disabled/Sexual Orientation/Gender Identity