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Director Distance Learning Jobs in Kansas (NOW HIRING)

Knowmadics

Data Scientist

Wichita, KS · On-site

Candidate should live within driving distance of the following areas: Wichita, KS;Lawton OK; or ... Develop and evaluate machine learning solutions to interdisciplinary problems in cybersecurity and ...

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Director Distance Learning information

What is the difference between Director Distance Learning vs Instructional Designer?

AspectDirector Distance LearningInstructional Designer
Required CredentialsBachelor's or Master's in Education, Instructional Design, or related field; often leadership experienceBachelor's or Master's in Education, Instructional Design, or related field; focus on design skills
Work EnvironmentOversees teams, manages programs, collaborates with faculty and administratorsDevelops course content, designs learning materials, collaborates with subject matter experts
Employer & Industry UsageEducational institutions, online universities, corporate trainingEducational institutions, e-learning companies, corporate training departments

The main difference is that the Director Distance Learning oversees the entire online learning program and manages teams, while the Instructional Designer focuses on creating and designing specific course content. Both roles require similar educational backgrounds but differ in scope and responsibilities.

What are the key skills and qualifications needed to thrive as a Director of Distance Learning, and why are they important?

To thrive as a Director of Distance Learning, you need expertise in instructional design, online education strategies, and program management, usually supported by an advanced degree in education or a related field. Familiarity with learning management systems (LMS), digital collaboration tools, and relevant certifications like Quality Matters are commonly required. Strong leadership, communication, and problem-solving abilities set outstanding candidates apart in this role. These skills ensure the effective delivery, continuous improvement, and strategic growth of distance learning programs.

How does a Director of Distance Learning typically collaborate with faculty and IT teams to enhance online program quality?

A Director of Distance Learning works closely with faculty members to ensure course content is engaging and accessible, often providing training on best practices in online pedagogy. They also partner with IT teams to select, implement, and troubleshoot learning management systems and other educational technologies. This collaboration ensures that technical solutions align with instructional goals, and that faculty receive the support needed to deliver high-quality online education. Regular meetings, cross-functional committees, and feedback loops are common to facilitate ongoing improvements.

What does a Director of Distance Learning do?

A Director of Distance Learning is responsible for overseeing the development, implementation, and management of online education programs at an institution. They coordinate with faculty and staff to ensure that courses delivered remotely meet academic standards and effectively support students. Their duties often include managing technology platforms, developing online course content, training instructors, and ensuring compliance with educational regulations. They also stay updated on best practices and emerging trends in distance education to continually improve the learning experience.
What cities in Kansas are hiring for Director Distance Learning jobs? Cities in Kansas with the most Director Distance Learning job openings:
Director Distance Learning jobs near you
Senior Machine Learning Engineer

Senior Machine Learning Engineer

Knowmadics

Wichita, KS • On-site

$93K - $128K/yr

Full-time

Re-posted 10 hours ago

Job description

Candidate should live within driving distance of the following areas: Wichita, KS; Lawton OK; or Round Rock, TX
Job Purpose/Summary
The Machine Learning Engineer will build and integrate machine learning solutions into our next-generation space and critical infrastructure defense capabilities. They will leverage a variety of machine learning approaches to process very large streams of unstructured data in real time in scalable and secure cloud-native environments. As the first dedicated internal Machine Learning Engineer for this product, they will play a critical role in requirements generation, team leadership, and influencing the future of our products.
This is a demanding product development role, not a research position. Success on year one involves the design, training, optimization, validation and implementation of high-performance inference pipelines at scale.The role will play a key part in building and delivering initial machine learning capabilities for our MVP offering and may evolve over time to include involvement in hiring and mentorship as the team grows.
Duties and Responsibilities
  • Lead the development + implementation of real-time feature detection and anomaly detection models
  • Generate data characteristic requirements for real-time data processing pipelines
  • Prepare technical documentation, reports, and specifications
  • Collaborate with cross-functional teams including project managers, technicians, and other engineers
  • Perform testing, troubleshooting, and quality assurance on systems or products
  • Ensure compliance with safety regulations, industry standards, and company policies

Qualifications
  • 7-10 YoE as a SWE or ML engineer building applied research and/or production technologies
  • Expertise on building production training and inference pipelines in python
  • A strong familiarity and personal preference for one or more deep learning libraries (ex. pytorch)
  • A comprehensive understanding of systems programming (a strong proficiency in C would imply this)
  • An understanding of how ETL processing works and familiarity with some of the common tools (kafka, spark, etc.)
  • Experience building machine learning models for unstructured data types (text, imagery, RF, telemetry, etc.)
  • Experience with hardware acceleration (GPUs, CUDA) for training and inference workloads
  • Experience packaging and deploying trained inference models for use in production environments
  • Minimum education requirement: High school diploma
  • Eligible to obtain a U.S. Security Clearance - U.S. Citizenship required.

Bonus Qualifications
  • Experience integrating trained inference pipelines into scalable cloud-native infrastructure
  • Experience building backend services and implementing API endpoints for scalable infrastructure
  • Experience building technology for air-gapped production deployment environments
  • Knowledge and experience with OCI technologies (docker, kubernetes, helm etc.)
  • B.S. or M.S. in an area relevant to this role

Working conditions
  • Employees may be called upon to participate in in-person meetings, training, or company functions at Knowmadics offices or other designated locations. Travel in support of business operations may also be required, and employees are expected to comply with these obligations as part of their position.
  • Candidate should live within driving distance of the following areas: Waldorf, Md; Wichita, KS; Lawton OK; or Round Rock, TX
  • Estimated Travel: 0-10%

Physical requirements
May include sitting or standing for extended periods, working with computers and technical equipment, and occasionally lifting or moving materials or tools.
Direct reports
None

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