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Remote Full Stack Machine Learning Engineer Jobs in Texas

MSA FULL STACK DEVELOPER

Plano, TX ยท Remote

$90K - $150K/yr

We are looking for an MSA Full Stack Developer. The pay range we offer is $90,000 to $150,000 per ... This position is remote. WHY SHOULD YOU APPLY? * Top industry compensation plan. * Great benefits.

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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 Texas? The most popular types of Full Stack Machine Learning Engineer jobs in Texas are:
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What job categories do people searching Remote Full Stack Machine Learning Engineer jobs in Texas look for? The top searched job categories for Remote Full Stack Machine Learning Engineer jobs in Texas are:
What cities in Texas are hiring for Remote Full Stack Machine Learning Engineer jobs? Cities in Texas with the most Remote Full Stack Machine Learning Engineer job openings:
Senior Full-Stack Software Engineer

Senior Full-Stack Software Engineer

Peloton, Inc

Austin, TX โ€ข On-site, Remote

Full-time

Re-posted 7 days ago


Job description

Company Description
Pelotech helps enterprise clients leverage Kubernetes and other cloud technology to solve core business challenges. We help them deploy distributed, highly available, services.
We help the worlds largest companies build globe spanning technology products and provide expert guidance on scaling technology solutions at all levels.
In support of this ambition we:
  • Cherish and champion values and practices that create trust, collaboration, and measured improvement;
  • Work with folks that do the same.

We are not a consultancy that talks at you, nor a "body shop" contract company without an outside perspective. We teach software acceleration by working alongside our customers.
Job Description
Join:
We're looking for software engineers that want to write great code for real customers consistently and love to teach their team how to do the same. You are an experienced player-coach in creating amazing software teams, have proven technical chops in current CI/CD, immutable infrastructure, micros-service technologies.
You:
  • Can be the primary customer point of contact
  • Are not phased by ambiguity and guide others through it
  • Relentlessly learn new technology that improves the speed of which you can achieve your goals.
  • Value empathy and strive to build solutions that teams can understand.
  • Are effective at guiding and counseling your team's managers.

You have:
  • A passion in working full-stack, from coding cloud infrastructure to building distributed systems and front end web applications.
  • A Passion for building products that are beautiful outside and inside - from their user experience to their robust and elegant design.
  • Data and metrics-oriented mindset: you want your work to be measurable and impactful.
  • Customer empathy: you understand your customers' needs and requirements.
  • Strong software development skills and computer science fundamentals.
  • A broad knowledge of entrepreneurial and work management frameworks such as Lean Startup, Design Thinking, Kanban, Scrum
  • Value loosely-held strong-opinions, sharing them and having them challenged.
  • An inquisitive mind and enjoy chasing down problems and opportunities across technology stacks and domains.

Even better:
  • A history of contributing to open source
  • A fondness for pair programming

Qualifications
Must have:
  • Strong skills in several programming languages and an understanding of when to use which.

Technologies we use and teach:
  • NodeJs
  • Go
  • Kafka
  • Docker
  • Kubernetes
  • Drone
  • Rancher
  • AWS/GCP

Additional Information
We've been a remote team since before COVID though the current global situation is definitely limiting our ability to travel to beautiful places together.