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Remote Monitoring Evaluation Learning Jobs in Missouri

Jobgether

You will collaborate with software engineers and technical teams in a fast-moving, remote ... Deploy, maintain, and monitor machine learning models in production environments. * Collaborate ...

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Remote Monitoring Evaluation Learning information

What is the difference between Remote Monitoring Evaluation Learning vs Remote Data Analyst?

AspectRemote Monitoring Evaluation LearningRemote Data Analyst
Primary FocusMonitoring, evaluating, and learning from programs or projects to improve outcomesAnalyzing data sets to identify trends, generate reports, and support decision-making
Required SkillsMonitoring tools, evaluation methodologies, learning frameworks, data collectionStatistical analysis, data visualization, database management, programming skills
Work EnvironmentFieldwork, program sites, remote collaboration with teamsOffice or remote, primarily computer-based work
Common CertificationsMonitoring and Evaluation (M&E) certifications, learning frameworksData analysis certifications, statistical software training

Remote Monitoring Evaluation Learning professionals focus on assessing program performance and fostering continuous improvement through evaluation and learning. In contrast, Remote Data Analysts primarily analyze data to support strategic decisions. While both roles require data skills, M&E emphasizes evaluation methodologies and learning frameworks, whereas Data Analysts focus on statistical analysis and data management.

What are the most commonly searched types of Monitoring Evaluation Learning jobs in Missouri? The most popular types of Monitoring Evaluation Learning jobs in Missouri are:
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Remote Monitoring Evaluation Learning jobs near you

Machine Learning Engineer

Jobgether

On-site, Remote

Full-time

Posted 12 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 Machine Learning Engineer based in Netherlands.

This role offers the opportunity to build and improve AI-powered products by developing machine learning solutions that address real-world challenges.
As a Machine Learning Engineer, you will work with complex datasets, design and optimize models, and help bring intelligent solutions into production.
You will collaborate with software engineers and technical teams in a fast-moving, remote environment focused on innovation.
The position combines data analysis, experimentation, software development, and machine learning engineering to create impactful products.
You will have the opportunity to work on challenging technical problems while continuously expanding your expertise in emerging AI technologies.
This role is ideal for a curious and motivated engineer who enjoys building practical AI applications and solving meaningful problems.

Accountabilities:

The Machine Learning Engineer will contribute to the development, deployment, and improvement of AI-driven solutions. The role requires strong technical skills, analytical thinking, and a passion for building scalable machine learning systems. Key responsibilities include:

  • Develop, train, test, and evaluate machine learning models to support product objectives.
  • Prepare, clean, analyze, and manage datasets used for model training and validation.
  • Improve model performance through experimentation, optimization, and continuous testing.
  • Deploy, maintain, and monitor machine learning models in production environments.
  • Collaborate with software engineers to integrate machine learning capabilities into products and applications.
  • Track model performance and identify opportunities to improve accuracy, reliability, and efficiency.
  • Apply modern machine learning techniques and stay informed about emerging technologies and best practices.
  • Write clean, maintainable, and efficient code to support scalable AI solutions.
  • Contribute to technical discussions and help solve complex engineering challenges.
  • Participate in the continuous improvement of machine learning workflows and development processes.
Requirements:

The ideal candidate is a technically curious and motivated professional with a foundation in machine learning, software engineering, or data science. Required qualifications and skills include:

  • 1+ year of experience in machine learning, software engineering, data science, or a related technical field, or strong personal projects demonstrating machine learning capabilities.
  • Basic understanding of machine learning concepts, algorithms, and model development processes.
  • Strong programming skills in Python.
  • Familiarity with machine learning frameworks and libraries such as PyTorch, TensorFlow, or scikit-learn.
  • Comfortable working with data and writing clean, maintainable code.
  • Experience using Git and version control practices.
  • Strong problem-solving skills with the ability to analyze technical challenges.
  • Good written and verbal English communication skills.
  • Passion for learning, experimenting, and building AI-powered solutions.
  • Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field is a plus but not mandatory.
  • Experience with large language models (LLMs) is an advantage.
  • Familiarity with cloud platforms such as AWS, GCP, or Azure is beneficial.
  • Knowledge of SQL and experience deploying machine learning models are considered advantages.
  • Personal AI, machine learning projects, or open-source contributions are highly valued.
Benefits:

The role offers a flexible remote environment and the opportunity to contribute to innovative AI solutions while growing professionally. Benefits include:

  • Fully remote work opportunity.
  • Flexible working environment with autonomy and work-life balance.
  • Opportunity to build and improve real-world AI products.
  • Exposure to challenging technical problems and modern machine learning technologies.
  • Collaborative and fast-moving team environment.
  • Opportunities for professional growth and continuous learning.
  • Competitive compensation based on experience.
  • Opportunity to contribute to impactful machine learning projects from anywhere.
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!
 Why Apply Through Jobgether? 
 
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
 
 
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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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