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We want data science/machine learning/data analyst and Java full stack candidates. For data science ... computer engineering, electrical engineering, information systems, IT project work on the ...
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As part of our team, you'll work on high-impact projects at the intersection of AI, machine learning, and secure software engineering. We're seeking a Senior Full-Stack Engineer to join our growing ...
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Quick apply
Full Stack JavaScript Developer (Contract-to-Hire) Are you a Full Stack JavaScript Developer ... Enjoys collaborating with others and learning from experienced teammates. * Is comfortable rolling ...
Full Stack JavaScript Developer (Contract-to-Hire) Are you a Full Stack JavaScript Developer ... Enjoys collaborating with others and learning from experienced teammates. * Is comfortable rolling ...
Full Stack JavaScript Developer (Contract-to-Hire) Are you a Full Stack JavaScript Developer ... Enjoys collaborating with others and learning from experienced teammates. * Is comfortable rolling ...
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Our partner is looking for a Full Stack Engineer based in Netherlands. This is a high-impact engineering role focused on building across the full spectrum of a fast-evolving decentralized technology ...
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Our partner is looking for a Senior Full-Stack Software Engineer, Applied AI based in Netherlands ... Learning and development budget for professional growth * Annual company retreats in international ...
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Executive Full Stack Machine Learning Engineer information
What is the difference between Executive Full Stack Machine Learning Engineer vs Data Scientist?
| Aspect | Executive Full Stack Machine Learning Engineer | Data Scientist |
|---|---|---|
| Credentials | Bachelor's/Master's in CS, Engineering, or related; often requires experience in ML and full stack development | Bachelor's/Master's in Data Science, Statistics, or related; strong analytical and statistical skills |
| Work Environment | Develops end-to-end ML solutions, integrates backend and frontend, collaborates with engineering teams | Analyzes data, builds models, visualizes insights, often in research or analytics teams |
| Industry Usage | Used in tech companies, startups, and enterprises deploying ML products | Common in research institutions, analytics firms, and data-driven organizations |
The Executive Full Stack Machine Learning Engineer focuses on building and deploying complete ML solutions, combining software engineering and data science skills. In contrast, Data Scientists primarily analyze data and develop models without necessarily handling full stack development. Both roles require strong technical credentials but differ in scope and daily tasks.
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Posted 10 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 Full Stack AI Engineer based in Netherlands.
This is an exciting opportunity for a highly motivated engineer to join a fast-paced, AI-focused environment where innovation, experimentation, and rapid execution are at the heart of every project. In this role, you will work on building intelligent applications, AI-powered workflows, and scalable products that help validate new ideas and accelerate business growth. You will collaborate closely with founders, product leaders, and technical teams to transform complex concepts into functional solutions. The position offers significant autonomy, exposure to cutting-edge AI technologies, and the chance to contribute to a growing ecosystem of reusable tools and frameworks. Ideal candidates thrive in dynamic environments, enjoy solving ambiguous challenges, and are passionate about delivering impactful products quickly. This role is well suited for engineers who want to shape the future of AI-driven products while working with a highly experienced and collaborative team.
- Design, develop, and deploy AI-powered applications, agent-based systems, and full-stack solutions.
- Build and iterate rapidly on prototypes, proofs of concept, and minimum viable products to validate ideas and market opportunities.
- Experiment with AI frameworks, large language model technologies, open-source tools, and low-code platforms to deliver effective solutions.
- Collaborate directly with stakeholders to translate business needs and product concepts into scalable technical implementations.
- Contribute to the development and maintenance of shared libraries, reusable components, prompts, and internal frameworks.
- Support product launches and provide technical expertise across multiple projects when needed.
- Continuously optimize workflows, improve product performance, and identify opportunities for innovation.
- Proven experience developing applications using Python and modern AI tools, frameworks, and APIs.
- Strong background in building and rapidly iterating on MVPs, prototypes, or experimental products.
- Experience working with a combination of commercial AI services, open-source technologies, and automation tools.
- Excellent problem-solving abilities with strong analytical and critical-thinking skills.
- Ability to work independently in a remote, asynchronous, and high-autonomy environment.
- Strong communication and collaboration skills, with the ability to work effectively with technical and non-technical stakeholders.
- Experience with AI agents, vector databases, retrieval-augmented generation (RAG), or similar technologies is highly valued.
- Familiarity with frontend development technologies such as React, Next.js, or related frameworks is a plus.
- Background in STEM, data science, machine learning, or quantitative engineering disciplines is advantageous.
- Previous experience in startup environments, high-growth organizations, or founder-led teams is preferred.
- Competitive contract compensation during the initial evaluation period.
- Opportunity to transition into a long-term full-time or retainer-based engagement based on performance and mutual fit.
- Fully remote work environment with location flexibility.
- High level of ownership, autonomy, and exposure to impactful projects.
- Collaboration with experienced professionals across AI, product development, and infrastructure.
- Access to cutting-edge technologies, tools, and innovative product initiatives.
- Fast-moving culture focused on learning, experimentation, and continuous growth.
- Opportunity to contribute to a diverse portfolio of AI-driven products and ventures.