2

Remote Full Stack Machine Learning Engineer Jobs in Colorado

* 8+ years of experience in .Net technologies including .Net core * Very proficient in C#, .Net Web API, Entity Framework etc. * Able to coordinate with architects, requirements, quality assurance ...

AI Engineer

Denver, CO · On-site +1

$100K - $135K/yr

Remote USA - In Tandem Compensation: $100,000 - $135,000 / year Description At In Tandem, we build ... A full-stack builder who wants the app layer too: you don't want to be boxed into infra. When a ...

Senior Algorithm Engineer

Westminster, CO · On-site +1

$124K - $165K/yr

Research, prototype, and deploy innovative solutions leveraging machine learning and computer ... Bachelors degree in Computer Science, Computer Engineering, Applied Mathematics, Physics, Remote ...

Full-Stack Prototyping: Build functional user interfaces and dashboards that make complex AI ... We are proud to be an equal opportunity workplace. #LI-Remote

Remote Principal Software Engineer - Data Architecture and Engineering US-based only | No visa ... as a full-stack or backend engineer with a deep data focus · Proficiency in Python, Java ...

Senior Numerical Algorithm Software Engineer

Boulder, CO · On-site +1

$127K - $167K/yr

Advance modeling, simulation, and machine learning toolchains, including development of reusable ... Knowledge of DoD or Intelligence Community mission systems, especially related to remote sensing or ...

Staff Software Engineer

Denver, CO · Remote

$202K - $274K/yr

We are seeking a highly experienced Full Stack Engineer (7+ years) to design, build, and scale ... California Remote (Bay Area) $202,500- $274,000 California Remote (Not Bay Area) $188,500- $255,000 ...

next page

Showing results 1-20

Remote Full Stack Machine Learning Engineer information

What is a Remote Full Stack Machine Learning Engineer?

A Remote Full Stack Machine Learning Engineer is a professional who designs, develops, and deploys machine learning solutions while working remotely. They handle both the front-end and back-end aspects of machine learning projects, including data preprocessing, model building, API development, and integration with user interfaces or cloud platforms. This role requires expertise in programming, machine learning frameworks, cloud services, and web technologies, allowing them to build end-to-end AI-driven applications from anywhere in the world.

What are some common challenges faced by remote Full Stack Machine Learning Engineers, and how can they be addressed?

Remote Full Stack Machine Learning Engineers often encounter challenges such as managing effective collaboration with cross-functional teams and ensuring smooth deployment of machine learning models into production environments. To address these, it's important to establish clear communication channels, regularly participate in virtual stand-ups, and use collaborative platforms such as GitHub and Slack. Additionally, staying organized with version control and thorough documentation helps maintain project transparency and ensures seamless handoffs between backend and frontend development. Proactively seeking feedback and scheduling regular check-ins with team members can further enhance productivity and integration within the team.

What is the difference between Remote Full Stack Machine Learning Engineer vs Remote Data Scientist?

AspectRemote Full Stack Machine Learning EngineerRemote Data Scientist
Primary FocusDeveloping end-to-end machine learning applications, including backend, frontend, and model deploymentAnalyzing data, creating models, and generating insights without necessarily building full applications
Skills RequiredProgramming (Python, JavaScript), ML frameworks, web development, deployment toolsStatistics, data analysis, visualization, Python/R, SQL
Work EnvironmentCollaborates with developers, data engineers, and product teams in tech-driven companiesWorks with data teams, analysts, and business units in various industries

While both roles involve working with data and machine learning, a Remote Full Stack Machine Learning Engineer builds complete applications with integrated ML models, whereas a Remote Data Scientist focuses on data analysis and model creation without necessarily developing full applications.

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

To thrive as a Remote Full Stack Machine Learning Engineer, you need proficiency in programming languages (such as Python or JavaScript), a solid understanding of machine learning algorithms, experience with web development frameworks, and typically a degree in computer science or a related field. Familiarity with tools like TensorFlow, PyTorch, Docker, cloud computing platforms (AWS, GCP), and version control systems (Git) is essential. Strong problem-solving skills, self-motivation, and clear communication are crucial soft skills, especially in remote and cross-functional team environments. These combined skills ensure effective design, deployment, and integration of machine learning solutions in scalable web applications while maintaining productivity in a remote setting.
What are the most commonly searched types of Full Stack Machine Learning Engineer jobs in Colorado? The most popular types of Full Stack Machine Learning Engineer jobs in Colorado are:
What are popular job titles related to Remote Full Stack Machine Learning Engineer jobs in Colorado? For Remote Full Stack Machine Learning Engineer jobs in Colorado, the most frequently searched job titles are:
What job categories do people searching Remote Full Stack Machine Learning Engineer jobs in Colorado look for? The top searched job categories for Remote Full Stack Machine Learning Engineer jobs in Colorado are:
What cities in Colorado are hiring for Remote Full Stack Machine Learning Engineer jobs? Cities in Colorado with the most Remote Full Stack Machine Learning Engineer job openings:
Full Stack .Net Developer

Full Stack .Net Developer

Palnar

Denver, CO • On-site, Remote

Full-time

Re-posted 14 days ago


Job description

  • 8+ years of experience in .Net technologies including .Net core
  • Very proficient in C#, .Net Web API, Entity Framework etc.
  • Able to coordinate with architects, requirements, quality assurance, product teams
  • Strong working knowledge with different databases like Oracle, SQL Server. Able to do all database operations using LINQ as well able to work with database IDEs
  • Fluent in Angular UI framework, typescript, HTML5, CSS and able to do UI development guide the team
  • Experience of TDD (Test Driven Development), unit testing and mocking frameworks
  • Experience with source controls like github, bitbucket etc
  • Soft Skills

Problem solving ability
  • Manages time well and work in fast paced environment with time boxed assignment of tasks
  • Understands priorities and plan work accordingly
  • Able to work in agile environments