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Jobgether

Ability to collaborate effectively in remote and cross-functional international teams. * Bachelor ... This processing is based on legitimate interest and pre-contractual measures under applicable data ...

Jobgether

... growing international environment. The position combines deep technical problem-solving with ... This processing is based on legitimate interest and pre-contractual measures under applicable data ...

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As of Jun 4, 2026, the average hourly pay for contractual international python in the United States is $58.62, according to ZipRecruiter salary data. Most workers in this role earn between $48.32 and $66.59 per hour, depending on experience, location, and employer.
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Contractual International Python jobs near you

AI/ML Engineer, Python

Jobgether

On-site, Remote

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

This position is posted by Jobgether on behalf of a partner company. We are currently looking for an AI/ML Engineer, Python in Netherlands.

This is an exciting opportunity for an experienced AI and machine learning engineer to contribute to innovative, large-scale technology solutions within a globally distributed and fast-growing environment. In this role, you will collaborate closely with engineering, product, data science, and business teams to design and deploy intelligent systems that improve user experiences and operational efficiency. The position combines backend engineering, AI model development, cloud technologies, and data pipeline management in a highly collaborative remote-first culture. You will work on impactful machine learning applications, helping transform complex data into scalable and production-ready solutions. This role is ideal for professionals who enjoy solving challenging technical problems, working across disciplines, and driving innovation through applied AI and machine learning technologies.

Accountabilities:
  • Design, develop, and maintain AI and machine learning solutions using Python and modern data science frameworks.
  • Build, optimize, and manage scalable data pipelines and ETL processes to support data ingestion, transformation, and analytics workflows.
  • Develop, deploy, and maintain reliable AI/ML models in cloud-based production environments.
  • Collaborate closely with data scientists, backend engineers, product teams, and business stakeholders to translate business needs into technical solutions.
  • Write clean, maintainable, and efficient code while following best practices for testing, deployment, and optimization.
  • Conduct research on emerging AI, machine learning, NLP, and information retrieval techniques to continuously improve existing systems.
  • Troubleshoot technical issues, debug production systems, and ensure high availability and performance of AI-driven applications.
  • Create and maintain technical documentation for models, pipelines, and engineering processes.
  • Participate in code reviews and contribute to a collaborative and high-performing engineering culture.
Requirements:
  • Strong proficiency in Python, PostgreSQL, and modern data science and machine learning ecosystems.
  • Minimum 5 years of experience in backend engineering within production environments.
  • At least 2 years of hands-on experience implementing machine learning algorithms, information retrieval systems, NLP, or text processing solutions in Python.
  • Proven track record of building and delivering AI/ML solutions integrated into production-grade products.
  • Experience developing scalable systems and deploying machine learning models using cloud-based infrastructure.
  • Strong understanding of software engineering best practices, including testing, optimization, and maintainable code architecture.
  • Experience working with Jupyter Notebooks, Google Colab, or similar development environments.
  • Excellent analytical and problem-solving skills with the ability to work across complex technical challenges.
  • Strong written and verbal communication skills with the ability to explain technical concepts clearly to both technical and non-technical stakeholders.
  • Ability to collaborate effectively in remote and cross-functional international teams.
  • Bachelor's degree or higher in Computer Science, Engineering, Data Science, or another STEM-related field.
Benefits:
  • Fully remote work environment with flexibility across supported regions.
  • Competitive compensation package with potential stock grant opportunities depending on role and location.
  • Access to additional country-specific perks and employee benefits.
  • Optional coworking access through WeWork locations.
  • Opportunity to work on cutting-edge AI and machine learning projects impacting global users and businesses.
  • Exposure to modern cloud infrastructure, scalable AI systems, and advanced data technologies.
  • Collaborative, inclusive, and innovation-driven company culture focused on continuous learning and career growth.
  • Career acceleration opportunities within a rapidly growing international technology environment.
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. 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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