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Remote Signal Processing Postdoctoral Jobs in Missouri

$40.75 - $55.75/hr

Fully remote position within Europe. * Flexible engagement as either a contractor or full-time ... We use an AI-powered matching process to ensure your application is reviewed quickly, objectively ...

You will work with a flexible contractor model, delivering remote audits while applying your ... We use an AI-powered matching process to ensure your application is reviewed quickly, objectively ...

New

... remote-first environment. If you're passionate about API design, cloud-native technologies, and ... Participate in continuous improvements across CI/CD pipelines, deployment processes, and ...

Join a fully remote game development team where technical creativity and problem-solving are at the ... You will have the opportunity to influence development processes and contribute to a major game ...

New

$76K - $89K/yr

Remote contract opportunity with collaboration across distributed teams. * Opportunity to lead ... We use an AI-powered matching process to ensure your application is reviewed quickly, objectively ...

You will work in a flexible, remote setup that allows you to manage your own schedule while meeting ... We use an AI-powered matching process to ensure your application is reviewed quickly, objectively ...

Join a fully remote game development team creating engaging third-person gameplay experiences ... We use an AI-powered matching process to ensure your application is reviewed quickly, objectively ...

New

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Remote Signal Processing Postdoctoral information

What are the key skills and qualifications needed to thrive as a Remote Signal Processing Postdoctoral Researcher, and why are they important?

To thrive as a Remote Signal Processing Postdoctoral Researcher, you need a Ph.D. in electrical engineering, computer science, or a related field, with expertise in signal processing theory and algorithms. Experience with programming languages such as Python or MATLAB, and familiarity with simulation tools or machine learning frameworks, is typically required. Strong analytical thinking, independent research skills, and effective written and verbal communication set outstanding candidates apart. These skills are crucial for advancing research, publishing results, and collaborating remotely with interdisciplinary teams.

What are some common challenges faced by remote signal processing postdoctoral researchers, and how can these be effectively managed?

Remote signal processing postdocs often encounter challenges such as limited access to specialized lab equipment, potential communication barriers with collaborators, and the need for strong self-motivation and time management. To address these, many researchers leverage cloud-based computing resources, regularly schedule virtual meetings, and participate in collaborative online platforms to stay connected with their teams. Setting clear research goals and maintaining open communication with supervisors can also help ensure ongoing progress and support while working remotely.

What is a Remote Signal Processing Postdoctoral researcher?

A Remote Signal Processing Postdoctoral researcher is a scientist who has recently completed their Ph.D. and conducts advanced research in signal processing—analyzing and interpreting signals such as audio, images, or sensor data—while working remotely. This position typically involves developing new algorithms, analyzing data, and publishing results in scientific journals. The 'remote' aspect means that the researcher can work from anywhere, collaborating with teams and contributing to projects online. These roles are common in fields like telecommunications, biomedical engineering, and geosciences.
What are popular job titles related to Remote Signal Processing Postdoctoral jobs in Missouri? For Remote Signal Processing Postdoctoral jobs in Missouri, the most frequently searched job titles are:
What job categories do people searching Remote Signal Processing Postdoctoral jobs in Missouri look for? The top searched job categories for Remote Signal Processing Postdoctoral jobs in Missouri are:
What cities in Missouri are hiring for Remote Signal Processing Postdoctoral jobs? Cities in Missouri with the most Remote Signal Processing Postdoctoral job openings:
Infographic showing various Remote Signal Processing Postdoctoral job openings in Missouri as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution.

$40.75 - $55.75/hr

Contractor

Posted 11 days ago


Job description

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Sagemaker DevOps Engineer based in Netherlands.

This is an excellent opportunity for an experienced DevOps professional to help build and optimize enterprise-scale machine learning infrastructure in a fully remote environment. In this role, you will design, automate, and maintain cloud-based MLOps solutions that enable seamless model development, deployment, and operations. Working at the intersection of DevOps and machine learning, you will create scalable platforms, improve development workflows, and enhance operational efficiency across AI initiatives. You will collaborate with cross-functional engineering teams to deliver reliable, secure, and automated cloud environments. This position offers the chance to work with modern AWS technologies while contributing to high-impact, enterprise-level projects. It is ideal for professionals who enjoy solving complex infrastructure challenges and driving automation at scale.

Accountabilities
  • Design, build, and automate enterprise-grade AWS SageMaker environments to support scalable machine learning initiatives.
  • Develop and implement DevOps automation for SageMaker Unified Studio and related cloud infrastructure.
  • Configure and maintain SageMaker lifecycle configurations to improve development consistency and operational efficiency.
  • Build and optimize CI/CD pipelines that enable users to deploy custom Docker images, kernels, and machine learning workloads.
  • Develop monitoring, alerting, and cost-control mechanisms to ensure platform reliability, service availability, and efficient resource utilization.
  • Implement MLOps automation for model deployment and infrastructure promotion across multiple environments.
  • Collaborate with engineering and platform teams to continuously improve cloud architecture, deployment processes, and operational best practices.
Requirements
  • 6+ years of professional experience in DevOps, Cloud Engineering, Infrastructure Engineering, or a related technical field.
  • Expert-level experience with AWS services and Python development.
  • Strong hands-on experience with Amazon SageMaker and machine learning infrastructure.
  • Proven experience designing and implementing enterprise-scale DevOps automation solutions.
  • Solid understanding of CI/CD principles and infrastructure automation.
  • Experience building Jenkins pipelines is considered an advantage.
  • Experience implementing MLOps workflows and automated model deployment processes is preferred.
  • Strong analytical and troubleshooting skills with the ability to work independently in remote, distributed teams.
  • Excellent communication skills and a proactive, solution-oriented approach to problem solving.
Benefits
  • Fully remote position within Europe.
  • Flexible engagement as either a contractor or full-time employee.
  • Opportunity to work on cutting-edge AI, cloud, and machine learning projects.
  • Exposure to enterprise-scale AWS and MLOps environments.
  • Collaborative international team with modern engineering practices.
  • Opportunities for professional growth while working with advanced cloud and DevOps technologies.
  • High-impact role contributing to innovative machine learning infrastructure initiatives.
How Jobgether works:
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
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