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Remote Deep Learning Engineer Jobs in Kansas (NOW HIRING)

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$80 - $100/hr

As a remote-first company, we're focused on providing opportunities for high performing individuals ... deep impact in the fast growing fintech space. A clear mission, a commitment to continuous ...

NinjaOne

Software Packaging Engineer

Kansas, KS · On-site +1

We are looking for a Software Packaging Engineer with deep IT and/or Managed Service Provider (MSP ... Location - We are flexible on remote working from home, if you are located in the USA and reside in ...

Varsity Tutors

FE - Civil Engineering Tutor

Wichita, KS · Remote

$18 - $40/hr

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for ... Deep knowledge of FE Civil examination content covering mathematics, probability and statistics ...

Ascend Learning

Manager User Experience

Leawood, KS · On-site +1

$113K/yr

... remote workers in cities across the U.S., Ascend Learning was recognized by Newsweek and Plant-A ... You'll partner closely with product managers, engineers, and senior stakeholders to align design ...

CrowdStrike

CrowdStrike is looking for a Principal Data Engineer with deep expertise in Large Language Models ... Contributions to open-source projects related to data or AI/ML. #LI-RC1 #LI-Remote Benefits of ...

Waabi

$158K - $269K/yr

Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech. ... ICP, RQE, SLAM, visual and radar odometry) and learning-based approaches (e.g. NeRF, 3D Splatting ...

Harriscomputer

$100K - $120K/yr

US, Canada (Remote) Employment Type: Full-time About Altera Altera, a member of the N. Harris ... We are seeking a highly skilled individual with a deep understanding of application architecture ...

Harris

$100K - $120K/yr

US, Canada (Remote) Employment Type: Full-time About Altera Altera, a member of the N. Harris ... We are seeking a highly skilled individual with a deep understanding of application architecture ...

Varsity Tutors

Structural Engineering Tutor

Wichita, KS · Remote

$18 - $40/hr

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for ... Deep knowledge of structural analysis methods, reinforced concrete design, steel design, timber ...

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All JobsDeep Learning Engineer JobsRemote Deep Learning Engineer JobsRemote Deep Learning Engineer Jobs in Kansas

Remote Deep Learning Engineer information

See Kansas salary details

$9.8K

$74.8K

$124.9K

How much do remote deep learning engineer jobs pay per year?

As of Jul 12, 2026, the average yearly pay for remote deep learning engineer in Kansas is $74,813.00, according to ZipRecruiter salary data. Most workers in this role earn between $64,200.00 and $124,000.00 per year, depending on experience, location, and employer.

How do Remote Deep Learning Engineers typically collaborate with cross-functional teams despite working remotely?

Remote Deep Learning Engineers frequently collaborate with data scientists, product managers, and software engineers using digital tools such as Slack, Zoom, and collaborative code platforms like GitHub. Regular virtual meetings and sprint planning sessions help ensure alignment on project goals and milestones. Clear documentation and asynchronous communication are crucial for effective teamwork, especially when team members are in different time zones. This collaborative structure enables remote engineers to contribute meaningfully to model development, deployment, and integration while maintaining flexibility.

What are the key skills and qualifications needed to thrive as a Remote Deep Learning Engineer, and why are they important?

To thrive as a Remote Deep Learning Engineer, you need a strong background in machine learning, deep learning frameworks, and programming languages like Python, usually supported by a degree in computer science or a related field. Familiarity with tools such as TensorFlow, PyTorch, cloud platforms (e.g., AWS, GCP), and version control systems is typically required, with certifications in AI or cloud technologies being advantageous. Excellent problem-solving, communication, and self-management skills make candidates stand out in remote environments. These skills and qualities are essential for developing effective AI solutions, collaborating across distributed teams, and driving innovation in the fast-evolving field of deep learning.

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

AspectRemote Deep Learning EngineerRemote Machine Learning Engineer
Required CredentialsBachelor's/Master's in CS, AI, or related; experience with deep learning frameworksBachelor's/Master's in CS, Data Science, or related; experience with ML algorithms
Work EnvironmentResearch and development, model training, neural network designData analysis, model deployment, algorithm development
Employer & Industry UsageTech companies, AI startups, research institutionsTech firms, finance, healthcare, e-commerce

Remote Deep Learning Engineers focus on designing and training neural networks for complex AI tasks, while Remote Machine Learning Engineers work on broader ML models and algorithms. Both roles require strong programming skills and knowledge of machine learning frameworks, but Deep Learning Engineers specialize in neural networks and large-scale data processing.

What is a Remote Deep Learning Engineer?

A Remote Deep Learning Engineer is a professional who works primarily online to design, develop, and implement deep learning models and algorithms. These engineers use neural networks and large datasets to solve complex problems in fields like computer vision, natural language processing, and more. Working remotely, they collaborate with team members via digital tools, write code, optimize models, and often deploy solutions to cloud environments. This role requires strong programming skills, experience with deep learning frameworks (like TensorFlow or PyTorch), and the ability to work independently in a distributed team setting.
What are popular job titles related to Remote Deep Learning Engineer jobs in Kansas? For Remote Deep Learning Engineer jobs in Kansas, the most frequently searched job titles are:
What job categories do people searching Remote Deep Learning Engineer jobs in Kansas look for? The top searched job categories for Remote Deep Learning Engineer jobs in Kansas are:
What cities in Kansas are hiring for Remote Deep Learning Engineer jobs? Cities in Kansas with the most Remote Deep Learning Engineer job openings:
Remote Deep Learning Engineer jobs near you
Senior Cloud Engineer, AWS

Senior Cloud Engineer, AWS

Tyler Technologies, Inc.

Overland Park, KS • On-site, Remote

$55 - $73.50/hr

Other

Posted 26 days ago

Tyler Technologies rating

9.3

Company rating: 9.3 out of 10

Based on 20 frontline employees who took The Breakroom Quiz

15th of 209 rated software companies

Job description

Description
We are seeking a Senior AWS Cloud Engineer to design, build, and operate full-stack cloud infrastructure on AWS. This role is responsible for delivering scalable, secure, and highly available cloud environments across networking, compute, storage, and platform services.
 
This is a hands-on engineering role that combines deep technical execution with architectural collaboration, requiring strong experience in AWS, Infrastructure as Code (IaC), and cloud-native design patterns. The ideal candidate will also provide technical leadership to junior engineers while partnering closely with centralized architecture teams.
 
Responsibilities
Cloud Infrastructure Engineering
  • Design, build, and maintain end-to-end AWS infrastructure including:
  • Networking (VPCs, subnets, routing, security groups)
  • Compute (EC2, Elastic Beanstalk, container platforms)
  • Storage (S3, EBS, RDS, and related services)
  • Build scalable, resilient, and cost-efficient cloud environments aligned with enterprise standards
  • Automate infrastructure provisioning and configuration using Infrastructure as Code (Terraform preferred, CloudFormation, or similar)
  • Implement CI/CD pipelines and deployment automation for infrastructure and applications
Architecture & Design
  • Translate business and application requirements into AWS-based solutions and technical designs
  • Collaborate with centralized AWS architects to align implementation with enterprise architecture standards
  • Contribute to design reviews, architecture decisions, and continuous improvement of cloud patterns
  • Ensure solutions meet security, compliance, and performance standards
  • Collaborate across departments with Application Development leadership to align on and design infrastructure solutions
Operations & Reliability
  • Monitor, troubleshoot, and optimize AWS environments for performance, availability, and cost efficiency
  • Implement best practices for logging, monitoring, and alerting (e.g., CloudWatch)
  • Participate in incident response and root cause analysis
  • Support disaster recovery and business continuity planning
 
Leadership & Collaboration
  • Provide technical guidance and mentorship to junior engineers
  • Lead implementation efforts and drive engineering best practices
  • Collaborate with DevOps Platform team, security, and application teams to deliver integrated solutions
  • Act as a senior engineering voice in technical discussions and decision-making
On-Call & Support
  • Participate in a rotational on-call schedule, including after-hours and weekend support
  • Respond to and resolve production incidents as part of operational responsibilities
 
Qualifications
  • 5+ years of hands-on AWS engineering experience (mid-to-senior level)
  • Proven experience designing and implementing AWS infrastructure across:
  • Networking, compute, and storage layers
  • Strong expertise with Infrastructure as Code (IaC) (Terraform)
  • Deep knowledge of AWS core services (e.g., EC2, S3, VPC, IAM) and platform services
  • Experience with Elastic Beanstalk and application deployment patterns
  • Solid understanding of cloud architecture, security, and scalability
Preferred Qualifications
  • AWS certifications (e.g., Solutions Architect, SysOps Administrator)
  • Experience with containerization and orchestration (Docker, Kubernetes/EKS)
  • Experience with CI/CD tooling and DevOps practices
  • Familiarity with cost optimization (FinOps) practices
  • Background in hybrid cloud or migration initiatives
  • PCI, SOC and SOX experience
  • Experience with on prem Windows infrastructure is a plus
Technical Skills
  • AWS Services: EC2, VPC, S3, IAM, RDS, Elastic Beanstalk
  • Infrastructure as Code: Terraform, CloudFormation
  • Scripting: Python, Bash, or similar
  • CI/CD: Jenkins, GitHub Actions, AWS CodePipeline
  • Monitoring: CloudWatch and logging tools
  • New Relic: Experience with New Relic is a plus

Soft Skills

  • Strong problem-solving and troubleshooting skills
  • Ability to translate complex technical concepts into actionable solutions
  • Excellent communication and collaboration skills
  • Proven ability to mentor and lead junior engineers
Work Environment & Expectations
  • Full-time role (remote/hybrid depending on team needs)
  • Participation in on-call rotation including evenings and weekends
  • Fast-paced, collaborative cloud engineering environment
This role is ideal for a hands-on, senior-level AWS engineer who:
  • Owns infrastructure end-to-end (network compute storage)
  • Balances execution with architecture alignment
  • Leads others while still building
  • Thrives in an operationally critical, production-facing environment

What Tyler Technologies employees say

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