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Weekend Machine Learning Software Engineer Jobs in Kansas

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Weekend Machine Learning Software Engineer information

What is a weekend machine learning software engineer?

A Weekend Machine Learning Software Engineer is a professional who specializes in developing and deploying machine learning models and software systems, but works primarily on weekends. These engineers often collaborate remotely or part-time, contributing to machine learning projects such as model training, data preprocessing, or integration into applications. The role typically requires strong programming skills, experience with machine learning frameworks, and the ability to work independently. Weekend positions may appeal to individuals seeking flexible schedules or supplemental income, while still engaging in advanced technical work.

What are the typical responsibilities and collaboration expectations for a weekend machine learning software engineer?

As a Weekend Machine Learning Software Engineer, you’ll often focus on addressing project backlogs, refining models, and supporting critical deployments during off-peak hours. You’ll typically collaborate remotely with data scientists, product managers, and other engineers through asynchronous communication or scheduled virtual check-ins. The role requires a high degree of independence and strong documentation skills, as well as the ability to quickly troubleshoot and implement solutions with limited direct supervision. This position is ideal for those who are self-motivated and enjoy contributing to core projects outside the standard workweek.

What are the key skills and qualifications needed to thrive as a weekend machine learning software engineer, and why are they important?

To thrive as a Weekend Machine Learning Software Engineer, you need a solid background in computer science, programming (Python, Java, or C++), and applied mathematics, supported by experience with machine learning algorithms. Familiarity with tools and frameworks such as TensorFlow, PyTorch, scikit-learn, and version control systems like Git is typically required. Strong problem-solving skills, effective time management, and the ability to work independently are vital soft skills in this role. These competencies are essential for efficiently delivering robust machine learning solutions during limited weekend hours and collaborating remotely with teams.

What is the difference between Weekend Machine Learning Software Engineer vs Part-Time Data Scientist?

AspectWeekend Machine Learning Software EngineerPart-Time Data Scientist
CredentialsBachelor's or higher in CS, ML, or related fields; experience with ML frameworksBachelor's or higher in Data Science, Statistics, or related fields; analytical skills
Work EnvironmentTech companies, startups, or research labs; project-based tasksResearch institutions, consulting firms, or corporate analytics teams
Usage in IndustryDeveloping ML models, algorithms, and software solutionsData analysis, modeling, and insights generation

The Weekend Machine Learning Software Engineer primarily focuses on developing and implementing machine learning models during weekends, often in a software engineering context. In contrast, a Part-Time Data Scientist emphasizes analyzing data, building statistical models, and deriving insights, often with a broader focus on data analysis rather than software development. Both roles may overlap in skills but differ in their core responsibilities and work environments.

What cities in Kansas are hiring for Weekend Machine Learning Software Engineer jobs?

Cities in Kansas with the most Weekend Machine Learning Software Engineer job openings:

Weekend Machine Learning Software Engineer jobs near you

Senior Software Engineer

Olathe, KS • On-site

Garmin International, Inc.
Electronics and Appliance Stores • 10K+ employees
Learn more about Garmin International, Inc.external

$118K - $156K/yr

Full-time

Re-posted 2 days ago

Garmin rating

8.8

Company rating: 8.8 out of 10

Based on 45 frontline employees who took The Breakroom Quiz

15th of 161 rated electronics manufacturers

Job description

Overview
We are seeking a full-time Senior Software Engineer at Garmin's U.S. headquarters in the Greater Kansas City area. In this role, you will build the platforms, tooling, and infrastructure that enable scalable delivery of machine learning and large language model (LLM) capabilities across Garmin. You will partner closely with Data Scientists, Software Engineers, and Cloud/Infrastructure teams to develop self-service ML Ops solutions that reduce friction associated with model deployment, monitoring, reliability, and operational support. This is an opportunity for you to shape the future of AI enablement at Garmin by designing production-grade systems that improve the scalability, efficiency, and developer experience of enterprise AI/ML workflows.
Essential Functions
  • Designs, develops, and maintains self-service Machine Learning Ops tooling, platforms, and automation capabilities that improve the efficiency and scalability of machine learning model delivery
  • Implements and supports standardized CI/CD pipelines, model registries, deployment automation, and operational tooling for production AI/ML systems
  • Collaborates with Data Scientists, Software Engineers, and Infrastructure teams to reduce operational friction and improve the developer experience associated with model development and deployment workflows
  • Designs and implements monitoring, health check, observability, and alerting capabilities for production machine learning and LLM deployments
  • Researches and implements scalable infrastructure solutions for LLM deployment including autoscaling, dynamic routing, and cloud-based serving architectures
  • Serves in a leadership capacity as an individual contributor for carrying out software development in Python, Java, or other selected languages for new products and/or applications
  • May serve as a Lead Software Engineer for complex software development project designs and/or reviews architected modules and software systems supporting new technology or improving capability/performance of existing functionality
  • Decomposes functional requirements into well-defined tasks
  • Researches fundamental problems and implements algorithm solutions that are appropriate
  • Offers peer technical assessments in areas of expertise, new technologies and software designs
  • Participates in project leadership and/or program planning including providing technical input to product development plans and concept documents
  • Makes substantial contributions toward determination of project goal/objective feasibility and applies good judgment in setting schedules/risk taking
  • Mentors and provides guidance to less experienced Software Engineers (1 & 2)
  • Contributes to advanced technical research on new technologies
  • Offers process improvement suggestions and authors new procedures as appropriate
  • Provides reliable solutions to a wide range of difficult problems using sound problem solving techniques
  • Supports working hours as part of a rotating schedule to provide on call support of Garmin's 24/7 operations

Basic Qualifications
  • Bachelor's Degree in Computer Science, Electrical Engineering, Computer Engineering, Software Engineering, Aerospace Engineering, Math, Physics or related field AND a minimum of 5 years relevant experience
  • Demonstrated proficiency with designing well architectured software systems and modules that support new technology or improve capability/performance of existing functionality
  • Demonstrated competence with researching fundamental problems and implementing appropriate algorithmic solutions
  • Demonstrated ability to serve as a lead software engineer for a complex software project
  • Ability to decompose functional requirements into well-defined tasks while balancing quality, quantity, and complexity in work output
  • Demonstrated capability to offer peer technical assessments in areas of expertise, new technologies and software designs
  • Mastered proficiency in writing software in C, C++, C# or Java and relevant experience and/or training in data structures or object-oriented design methodology
  • Demonstrated strong and effective verbal, written, and interpersonal communication skills
  • Must be positive, detail oriented, organized, team oriented and a driven problem solver, multi-tasker, and self-starter with the ability to prioritize and lead in a fast paced, deadline-driven environment

Desired Qualifications
  • Experience developing and supporting containerized and distributed systems using technologies such as Docker, Kubernetes, Helm, and cloud-native deployment platforms
  • Familiarity with GPU-enabled infrastructure, accelerated compute environments, and scalable inference architectures supporting machine learning and large language model (LLM) workloads
  • Experience working with cloud compute and storage platforms such as Microsoft, including deployment automation, networking, and infrastructure management
  • Knowledge of ML Ops and DevOps tooling including CI/CD pipelines, infrastructure-as-code, model deployment workflows, observability platforms, and operational monitoring solutions
  • Familiarity with modern machine learning frameworks, model serving technologies, and artifact management solutions such as PyTorch, Hugging Face, MLflow, or similar technologies
  • Experience developing automation and self-service tooling using Python, REST APIs, scripting frameworks, and cloud based orchestration technologies

Garmin International is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, citizenship, sex, sexual orientation, gender identity, veteran's status, age or disability.
This position is eligible for Garmin's benefit program. Details can be found here: Garmin Benefits

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