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Deep Learning Ai Jobs in Kansas (NOW HIRING)

$50/hr

Sony AI is Sony's new research organization pursuing the mission to use AI to unleash human ... Strong analytical and programming skills in deep learning using frameworks and tools for machine ...

$50/hr

Sony AI is Sony's new research organization pursuing the mission to use AI to unleash human ... Strong analytical and programming skills in deep learning using frameworks and tools for machine ...

$50/hr

Sony AI is Sony's new research organization pursuing the mission to use AI to unleash human ... Strong analytical and programming skills in deep learning using frameworks and tools for machine ...

$50/hr

Sony AI is Sony's new research organization pursuing the mission to use AI to unleash human ... Strong analytical and programming skills in deep learning using frameworks and tools for machine ...

$50/hr

Sony AI is Sony's new research organization pursuing the mission to use AI to unleash human ... Strong analytical and programming skills in deep learning using frameworks and tools for machine ...

$195K - $286K/yr

Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech. ... A Bachelor's or Master's degree in Machine Learning, Computer Vision, Robotics, or a related field ...

In this role, you will be a trusted technical advisor, helping clients design, deploy, and scale AI ... Experience with deep learning frameworks (e.g., PyTorch, TensorFlow). * Familiarity with ML tools ...

... and AI solutions. In addition, under guidance or with minimal supervision, this role will apply ... Experience with applying statistical methods (e.g. time series analysis, NLP, deep learning, or ...

... and AI solutions. In addition, under guidance or with minimal supervision, this role will apply ... Experience with applying statistical methods (e.g. time series analysis, NLP, deep learning, or ...

eDiscovery Manager, Cyber & Data Mining

Overland Park, KS · On-site +1

$109K - $148K/yr

... learning & AI-based culling tools as they relate to eDiscovery & Cyber Incident Response • Ideal candidates will have a deep interest in investigating & applying new technology #LI-TP1 #Remote The ...

Showing results 41-60

Deep Learning Ai information

What is a deep learning AI professional?

Deep Learning AI professionals are experts who design, develop, and implement artificial intelligence systems that use deep neural networks to analyze complex data and solve tasks such as image recognition, natural language processing, and autonomous decision-making. They work with large datasets and advanced algorithms to build models that can learn and improve over time. These professionals often have a background in computer science, mathematics, or engineering, and are skilled in programming languages like Python and frameworks such as TensorFlow or PyTorch.

What are the key skills and qualifications needed to thrive as a deep learning AI engineer?

To thrive as a Deep Learning AI Engineer, you need a strong background in mathematics, programming (especially Python), and experience with neural networks, typically supported by a degree in computer science, engineering, or a related field. Proficiency with deep learning frameworks such as TensorFlow or PyTorch, and knowledge of tools like CUDA for GPU acceleration, are essential; relevant certifications can be advantageous. Analytical thinking, creativity, and effective communication are important soft skills for solving complex problems and collaborating with cross-functional teams. These skills and qualities are crucial for building robust AI models and driving innovation in this rapidly evolving field.

What are some common challenges faced by professionals working in deep learning AI, and how can they be addressed?

Professionals in Deep Learning AI often encounter challenges such as managing large datasets, ensuring model accuracy, and addressing issues like overfitting. Collaboration with data engineers and domain experts is crucial to ensure high-quality data and relevant feature selection. Additionally, staying up-to-date with rapidly evolving frameworks and algorithms requires continuous learning and participation in knowledge-sharing within the team. Regular code reviews and experimentation with different architectures can help overcome technical obstacles and improve model performance.

What is the difference between Deep Learning Ai vs Machine Learning Engineer?

AspectDeep Learning AiMachine Learning Engineer
Required CredentialsDegree in Computer Science, Data Science, or related fields; knowledge of neural networksDegree in Computer Science, Data Science, or related fields; programming skills in Python, R
Work EnvironmentResearch labs, AI development teams, tech companies focusing on AI modelsSoftware development teams, data analysis projects across various industries
Industry UsagePrimarily in AI research, autonomous systems, NLP, computer visionAcross industries for predictive modeling, data analysis, automation

Deep Learning Ai specialists focus on designing and implementing neural network models for complex AI tasks, often requiring advanced knowledge of deep neural networks. Machine Learning Engineers develop broader machine learning models, including traditional algorithms. While both roles require similar educational backgrounds, Deep Learning Ai roles are more specialized in neural networks and AI research, whereas Machine Learning Engineers work across a wider range of algorithms and applications.

What are popular job titles related to Deep Learning Ai jobs in Kansas?

For Deep Learning Ai jobs in Kansas, the most frequently searched job titles are:

What cities in Kansas are hiring for Deep Learning Ai jobs?

Cities in Kansas with the most Deep Learning Ai job openings:

Infographic showing various Deep Learning Ai job openings in Kansas as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 23% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution.

Director, AI & Data Transformation - Workforce Health Solutions

Quest Diagnostics

Lenexa, KS • On-site

Full-time

Re-posted 7 days ago


ExamOne rating

6.6

Company rating: 6.6 out of 10

Based on 9 frontline employees who took The Breakroom Quiz

96th of 120 rated laboratories


Job description


The Director, AI & Data Transformation will be a key senior leader at Quest Workforce Health Solutions, responsible for defining and executing strategy for Artificial Intelligence (AI) and Automation. We are seeking a visionary leader with a proven track record of building high-performing technical teams and leveraging automation to enhance operational capabilities, empower employees, and create new business value. This pivotal role will champion the adoption of AI to augment our products, optimize workflows, and secure a sustainable competitive advantage.
Responsibilities
Strategic Leadership & Value Creation:
  • Develop and execute a comprehensive, multi-year AI and automation strategy that aligns with business objectives. Define and track key performance indicators (KPIs) to measure business impact and demonstrate the value created from all initiatives.

Team Leadership & Development:
  • Recruit, build, and mentor a team of AI, data, and automation specialists. Foster a culture of innovation, continuous learning, and collaboration focused on delivering impactful results.

Opportunity Identification & Enablement:
  • Partner with business leaders to identify high-impact use cases for AI and automation. Lead initiatives to optimize internal processes and workflows, driving internal efficiency and enabling our teams to focus on higher-value work, applying Lean methodologies and principles where applicable.

Technical Oversight & Execution:
  • Oversee the entire lifecycle of AI and automation projects-from ideation and prototyping to deployment and optimization. Architect and manage a scalable and secure AI infrastructure and provide hands-on guidance on the implementation of solutions like predictive models, LLMs, and large-scale automation systems.

Governance, Risk & Ethics:
  • In partnership with enterprise SMEs, establish a robust governance framework for all AI/Automation projects that aligns processes for key use cases (e.g., PHI/PII), ensuring clear prioritization, resource allocation, and risk assessment. Ensure all deployments adhere to the highest ethical guidelines and data privacy regulations, actively working to mitigate bias and operational risks.

Change Management & Communication:
  • Drive organizational change management to promote the understanding and adoption of AI solutions. Effectively communicate complex technical concepts and the value of AI initiatives to stakeholders at all levels, including the executive leadership team.

Qualifications
Required Work Experience:
  • A minimum of 3-5 years of experience in artificial intelligence, machine learning, or data science.
  • At least 5 years in a leadership role with demonstrated success in building, managing, and retaining high-performing technical teams.
  • A proven track record of developing and deploying AI-powered solutions and automation strategies that have delivered measurable business value, unlocked new opportunities, and demonstrated a clear return on investment (ROI).
  • Demonstrated proficiency with Microsoft Office suite of products, particularly Power Point, Word and Excel. Alteryx and SQL proficiency is a plus.

Preferred Work Experience:
  • Experience with Data Analytics and RPA Platforms: Hands-on experience with data analytics and ETL tools (e.g., Alteryx, SAS), business intelligence software (e.g., Tableau, Power BI), and Robotic Process Automation (RPA) platforms (e.g., UiPath, Automation Anywhere, Blue Prism)
  • Strong experience with big data technologies, MLOps practices, and cloud platforms (e.g., AWS, Azure, Google Cloud).
  • Experience managing multiple simultaneous projects and the flow of information across multiple work groups.
  • Project management experience highly desired.
  • Experience in a regulated industry (e.g., healthcare, finance) is highly desirable.

Knowledge:
  • Deep expertise in AI/ML fundamentals, including machine learning algorithms, deep learning, natural language processing (NLP), and generative AI (e.g., LLMs).

Skills:
  • Ability to prepare and persuasively present clear and concise written communications, both in report and presentation formats.
  • Ability to make presentations in person clearly and effectively to large and small groups, including senior business leadership team and clients.
  • Ability to multi-task, use analytical skills, follow verbal or written instructions, think analytically, effectively use written and verbal communication skills, concentrate on tasks, make decisions and adjust to change quickly.

People Leader Responsibility:
  • Lead a team of direct and indirect reports

Work Environment:
  • Remote in U.S.

Education:
  • BS/BA in business, computer science or data science (Required)
  • Advanced degree (Master's or Ph.D.) in Computer Science, Artificial Intelligence, Data Science, or a related technical field is required. (Preferred)

About the Team
Quest Diagnostics honors our service members and encourages veterans to apply.
While we appreciate and value our staffing partners, we do not accept unsolicited resumes from agencies. Quest will not be responsible for paying agency fees for any individual as to whom an agency has sent an unsolicited resume.
Equal Opportunity Employer: Race/Color/Sex/Sexual Orientation/Gender Identity/Religion/National Origin/Disability/Vets or any other legally protected status.

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