About This Role
Join us and be a part of shaping the future of manufacturing and product innovation. </p><h4><strong>Who we're looking for:</strong></h4><p class="Paragraph SCXW111181217 BCX4">As part of our growing team, you will play a key role in shaping the future of sustainable product development. Ifyou're ready to make an impact and contribute to meaningful change, we want to hear from you! </p><p class="Paragraph SCXW111181217 BCX4">This role is a fixed, permanent position. All successful applicants will receive a permanent employment contract regardless of location. </p><h4><strong>The role: </strong></h4><h3>Develop and Deploy Production-Grade AI Systems</h3><ul class="BulletListStyle1 SCXW111181217 BCX4"><li><p class="Paragraph SCXW111181217 BCX4">Build, deploy, and maintain scalable APIs that serve AI/ML models in production environments </p></li></ul><ul class="BulletListStyle1 SCXW111181217 BCX4"><li><p class="Paragraph SCXW111181217 BCX4">Own end-to-end delivery of AI solutions, from prototyping to fully productionized systems </p></li></ul><h3>Design Advanced AI Architectures</h3><ul class="BulletListStyle1 SCXW111181217 BCX4"><li><p class="Paragraph SCXW111181217 BCX4">Design and implement Retrieval-Augmented Generation (RAG) systems using vector databases </p></li></ul><ul class="BulletListStyle1 SCXW111181217 BCX4"><li><p class="Paragraph SCXW111181217 BCX4">Build and orchestrate AI agents using frameworks such as LangGraph, CrewAI, or similar </p></li></ul><ul class="BulletListStyle1 SCXW111181217 BCX4"><li><p class="Paragraph SCXW111181217 BCX4">Evaluate and select appropriate large language models (LLMs) and foundation models based on specific use cases </p></li></ul><h3>Optimize Performance and Scalability</h3><ul class="BulletListStyle1 SCXW111181217 BCX4"><li><p class="Paragraph SCXW111181217 BCX4">Continuously optimize model inference for latency, cost efficiency, and throughput at scale </p></li></ul><ul class="BulletListStyle1 SCXW111181217 BCX4"><li><p class="Paragraph SCXW111181217 BCX4">Identify bottlenecks and implement improvements to ensure high-performing systems </p></li></ul><h3>Ensure Reliability and Observability</h3><ul class="BulletListStyle1 SCXW111181217 BCX4"><li><p class="Paragraph SCXW111181217 BCX4">Implement robust monitoring, logging, and alerting for deployed models and services </p></li></ul><ul class="BulletListStyle1 SCXW111181217 BCX4"><li><p class="Paragraph SCXW111181217 BCX4">Ensure system reliability, uptime, and performance through best practices in production ML systems </p></li></ul><h3>Establish Engineering Best Practices</h3><ul class="BulletListStyle1 SCXW111181217 BCX4"><li><p class="Paragraph SCXW111181217 BCX4">Build and maintain CI/CD pipelines for seamless testing, deployment, and iteration of AI systems </p></li></ul><ul class="BulletListStyle1 SCXW111181217 BCX4"><li><p class="Paragraph SCXW111181217 BCX4">Contribute to evolving engineering standards as the company transitions from rapid experimentation to more structured, scalable operations </p></li></ul><h3>Collaborate Cross-Functionally</h3><ul class="BulletListStyle1 SCXW111181217 BCX4"><li><p class="Paragraph SCXW111181217 BCX4">Work closely with product and engineering teams to integrate AI capabilities into core products </p></li></ul><ul class="BulletListStyle1 SCXW111181217 BCX4"><li><p class="Paragraph SCXW111181217 BCX4">Translate business problems into technical solutions and clearly communicate trade-offs </p></li></ul><h3>Drive Structure in a Fast-Paced Environment</h3><ul class="BulletListStyle1 SCXW111181217 BCX4"><li><p class="Paragraph SCXW111181217 BCX4">Help bring stability and structure to AI development processes during a high-growth, scale-up phase </p></li></ul><ul class="BulletListStyle1 SCXW111181217 BCX4"><li><p class="Paragraph SCXW111181217 BCX4">Balance speed of execution with the need for maintainable, well-documented, and scalable systems </p></li></ul><ul class="BulletListStyle1 SCXW111181217 BCX4"><li><p class="Paragraph SCXW111181217 BCX4">Take ownership of ambiguous problems and drive them through to practical, production-ready outcomes </p></li></ul><h3>Requirements</h3><h3><em>Core Experience</em></h3><ul class="BulletListStyle1 SCXW16124225 BCX4"><li><p class="Paragraph SCXW16124225 BCX4">5+ years of experience in Python, with ~10 years of overall software engineering or data experience (candidates transitioning from backend engineering are welcome) </p></li></ul><ul class="BulletListStyle1 SCXW16124225 BCX4"><li><p class="Paragraph SCXW16124225 BCX4">Proven experience building and deploying production-grade APIs (preferably with FastAPI; REST/GraphQL experience is a plus) </p></li></ul><ul class="BulletListStyle1 SCXW16124225 BCX4"><li><p class="Paragraph SCXW16124225 BCX4">Hands-on experience working with large language models (LLMs) and LLMOps, including prompt engineering, fine-tuning, and evaluation (e.g., GPT, Claude) </p></li></ul><ul class="BulletListStyle1 SCXW16124225 BCX4"><li><p class="Paragraph SCXW16124225 BCX4">Strong experience fine-tuning open-source models (e.g., Hugging Face ecosystem) </p></li></ul><ul class="BulletListStyle1 SCXW16124225 BCX4"><li><p class="Paragraph SCXW16124225 BCX4">Practical experience designing and working with vector databases (e.g., Pinecone, Weaviate, Chroma, pgvector) </p></li></ul><ul class="BulletListStyle1 SCXW16124225 BCX4"><li><p class="Paragraph SCXW16124225 BCX4">Experience building AI agents using frameworks such as LangGraph, LangChain, CrewAI, or similar </p></li></ul><ul class="BulletListStyle1 SCXW16124225 BCX4"><li><p class="Paragraph SCXW16124225 BCX4">Solid understanding of model deployment and serving (e.g., vLLM, TGI, or managed endpoints) </p></li></ul><ul class="BulletListStyle1 SCXW16124225 BCX4"><li><p class="Paragraph SCXW16124225 BCX4">Experience with CI/CD pipelines and modern deployment practices (Docker, Kubernetes, GitHub Actions) </p></li></ul><ul class="BulletListStyle1 SCXW16124225 BCX4"><li><p class="Paragraph SCXW16124225 BCX4">Strong experience working with and processing large-scale text datasets </p></li></ul><h3><em>Preferred Experience</em></h3><ul class="BulletListStyle1 SCXW16124225 BCX4"><li><p class="Paragraph SCXW16124225 BCX4">Experience with MLOps platforms such as MLflow or Weights & Biases </p></li></ul><ul class="BulletListStyle1 SCXW16124225 BCX4"><li><p class="Paragraph SCXW16124225 BCX4">Familiarity with cloud AI ecosystems (e.g., AWS Bedrock, GCP Vertex AI, Azure OpenAI) </p></li></ul><ul class="BulletListStyle1 SCXW16124225 BCX4"><li><p class="Paragraph SCXW16124225 BCX4">Contributions to open-source AI/ML projects </p></li></ul><ul class="BulletListStyle1 SCXW16124225 BCX4"><li><p class="Paragraph SCXW16124225 BCX4">Experience in the sustainability or climate/product domain </p></li></ul><ul class="BulletListStyle1 SCXW16124225 BCX4"><li><h3>Background in B2B SaaS environments </h3></li></ul><ul class="BulletListStyle1 SCXW16124225 BCX4"><li><p class="Paragraph SCXW16124225 BCX4">Prior experience in a startup or scale-up environment (approximately 100–300 employees) </p></li></ul><ul class="BulletListStyle1 SCXW16124225 BCX4"><li><p class="Paragraph SCXW16124225 BCX4">Residing in and legally permitted to work in the EU. </p></li></ul><h3><em>Key Attributes</em></h3><ul class="BulletListStyle1 SCXW16124225 BCX4"><li><p class="Paragraph SCXW16124225 BCX4"><strong>Builder mindset:</strong> Comfortable owning systems end-to-end, from experimentation through to production </p></li></ul><ul class="BulletListStyle1 SCXW16124225 BCX4"><li><p class="Paragraph SCXW16124225 BCX4"><strong>Bias for action:</strong> Operates effectively in a fast-paced, evolving environment with shifting priorities </p></li></ul><ul class="BulletListStyle1 SCXW16124225 BCX4"><li><p class="Paragraph SCXW16124225 BCX4"><strong>Systems thinker:</strong> Designs solutions with scalability, reliability, and maintainability in mind </p></li></ul><ul class="BulletListStyle1 SCXW16124225 BCX4"><li><p class="Paragraph SCXW16124225 BCX4"><strong>Pragmatic decision-making:</strong> Balances technical excellence with speed and business impact </p></li></ul><ul class="BulletListStyle1 SCXW16124225 BCX4"><li><p class="Paragraph SCXW16124225 BCX4"><strong>Ownership & accountability:</strong> Takes responsibility for outcomes, not just outputs </p></li></ul><ul class="BulletListStyle1 SCXW16124225 BCX4"><li><p class="Paragraph SCXW16124225 BCX4"><strong>Clear communicator:</strong> Able to articulate complex technical concepts to both technical and non-technical stakeholders </p></li></ul><h4><strong>What We Offer:</strong></h4><ul class="BulletListStyle3 SCXW16124225 BCX4"><li><p class="Paragraph SCXW16124225 BCX4"><strong>Competitive Salary</strong> – We reward your skills and experience with a compensation package that reflects your value. </p></li></ul><ul class="BulletListStyle3 SCXW16124225 BCX4"><li><p class="Paragraph SCXW16124225 BCX4"><strong>30 Days Paid Time Off</strong> – Take the time you need to recharge and maintain a healthy work-life balance. </p></li></ul><ul class="BulletListStyle3 SCXW16124225 BCX4"><li><p class="Paragraph SCXW16124225 BCX4"><strong>Remote-First Flexibility</strong> – Work from anywhere in the EU, with the option to collaborate in person at our offices in Stuttgart, Berlin (role dependent). </p></li></ul><ul class="BulletListStyle3 SCXW16124225 BCX4"><li><p class="Paragraph SCXW16124225 BCX4"><strong>Generous Learning & Development Budget</strong> – We invest in your growth, providing ample resources for personal and professional development. </p></li></ul><ul class="BulletListStyle3 SCXW16124225 BCX4"><li><p class="Paragraph SCXW16124225 BCX4"><strong>Choose Your Ideal Work Equipment</strong> – Whether you prefer Apple or Microsoft, we’ll equip you with the tools you need to excel. </p></li></ul><h4><strong>The Experience:</strong></h4><ul class="BulletListStyle3 SCXW16124225 BCX4"><li><p class="Paragraph SCXW16124225 BCX4"><strong>Purpose-Driven Work</strong> – Build something meaningful. Here, you’re not just creating another app; you’re contributing to a transformative vision that you can be proud of. </p></li></ul><ul class="BulletListStyle3 SCXW16124225 BCX4"><li><p class="Paragraph SCXW16124225 BCX4"><strong>Great Colleagues</strong> – Join a team that’s open, transparent, and international.
Data Scientist (m/f/x)
Location: EU
(Remote)
Who You’ll Work For:
At Makersite, we're pioneering the future of sustainable product development and digital collaboration. As a leading platform for product lifecycle management (PLM), we empower companies to make smarter, more sustainable decisions across their entire supply chain. Our cutting-edge software enables teams to design, prototype, and manufacture with transparency, efficiency, and responsibility—reducing environmental impact while optimizing performance.
We're a fast-growing, innovative company that thrives on creativity, collaboration, and continuous learning. If you're passionate about technology, sustainability, and creating meaningful impact, we’d love to hear from you. Join us and be a part of shaping the future of manufacturing and product innovation.
Who we're looking for:
As part of our growing team, you will play a key role in shaping the future of sustainable product development. We’re looking for innovative, driven Data Scientists who are passionate about technology and sustainability to join us in building tools that enable companies to make smarter, more responsible decisions. In this role, you’ll have the opportunity to collaborate with talented professionals, contribute to cutting-edge projects, and help drive the digital transformation of industries worldwide. Ifyou're ready to make an impact and contribute to meaningful change, we want to hear from you!
This role is a fixed, permanent position. All successful applicants will receive a permanent employment contract regardless of location.
The role:
Develop and Deploy Production-Grade AI Systems
Build, deploy, and maintain scalable APIs that serve AI/ML models in production environments
Own end-to-end delivery of AI solutions, from prototyping to fully productionized systems
Design Advanced AI Architectures
Design and implement Retrieval-Augmented Generation (RAG) systems using vector databases
Build and orchestrate AI agents using frameworks such as LangGraph, CrewAI, or similar
Evaluate and select appropriate large language models (LLMs) and foundation models based on specific use cases
Optimize Performance and Scalability
Continuously optimize model inference for latency, cost efficiency, and throughput at scale
Identify bottlenecks and implement improvements to ensure high-performing systems
Ensure Reliability and Observability
Implement robust monitoring, logging, and alerting for deployed models and services
Ensure system reliability, uptime, and performance through best practices in production ML systems
Establish Engineering Best Practices
Build and maintain CI/CD pipelines for seamless testing, deployment, and iteration of AI systems
Contribute to evolving engineering standards as the company transitions from rapid experimentation to more structured, scalable operations
Collaborate Cross-Functionally
Work closely with product and engineering teams to integrate AI capabilities into core products
Translate business problems into technical solutions and clearly communicate trade-offs
Drive Structure in a Fast-Paced Environment
Help bring stability and structure to AI development processes during a high-growth, scale-up phase
Balance speed of execution with the need for maintainable, well-documented, and scalable systems
Take ownership of ambiguous problems and drive them through to practical, production-ready outcomes
Requirements
Core Experience
5+ years of experience in Python, with ~10 years of overall software engineering or data experience (candidates transitioning from backend engineering are welcome)
Proven experience building and deploying production-grade APIs (preferably with FastAPI; REST/GraphQL experience is a plus)
Hands-on experience working with large language models (LLMs) and LLMOps, including prompt engineering, fine-tuning, and evaluation (e.g., GPT, Claude)
Strong experience fine-tuning open-source models (e.g., Hugging Face ecosystem)
Practical experience designing and working with vector databases (e.g., Pinecone, Weaviate, Chroma, pgvector)
Experience building AI agents using frameworks such as LangGraph, LangChain, CrewAI, or similar
Solid understanding of model deployment and serving (e.g., vLLM, TGI, or managed endpoints)
Experience with CI/CD pipelines and modern deployment practices (Docker, Kubernetes, GitHub Actions)
Strong experience working with and processing large-scale text datasets
Preferred Experience
Experience with MLOps platforms such as MLflow or Weights & Biases
Familiarity with cloud AI ecosystems (e.g., AWS Bedrock, GCP Vertex AI, Azure OpenAI)
Contributions to open-source AI/ML projects
Experience in the sustainability or climate/product domain
Background in B2B SaaS environments
Prior experience in a startup or scale-up environment (approximately 100–300 employees)
Residing in and legally permitted to work in the EU.
Key Attributes
Builder mindset: Comfortable owning systems end-to-end, from experimentation through to production
Bias for action: Operates effectively in a fast-paced, evolving environment with shifting priorities
Systems thinker: Designs solutions with scalability, reliability, and maintainability in mind
Pragmatic decision-making: Balances technical excellence with speed and business impact
Ownership & accountability: Takes responsibility for outcomes, not just outputs
Clear communicator: Able to articulate complex technical concepts to both technical and non-technical stakeholders
What We Offer:
Competitive Salary – We reward your skills and experience with a compensation package that reflects your value.
30 Days Paid Time Off – Take the time you need to recharge and maintain a healthy work-life balance.
Remote-First Flexibility – Work from anywhere in the EU, with the option to collaborate in person at our offices in Stuttgart, Berlin (role dependent).
Generous Learning & Development Budget – We invest in your growth, providing ample resources for personal and professional development.
Choose Your Ideal Work Equipment – Whether you prefer Apple or Microsoft, we’ll equip you with the tools you need to excel.
The Experience:
Purpose-Driven Work – Build something meaningful. Here, you’re not just creating another app; you’re contributing to a transformative vision that you can be proud of.
Great Colleagues – Join a team that’s open, transparent, and international. We value inclusivity and foster a culture of collaboration and mutual respect.
Work-Life Balance – As a remote-first company, we trust you to do your best work, your way. You have the flexibility to work when it suits you, ensuring a healthy balance between personal and professional life.
Pride in Impact – We're already making a significant difference with global, well-known customers who share our vision. Be part of something that matters.
Stability with Ambition – With realistic growth plans, we’re committed to changing the way things are made—without sacrificing our ambitious goals for innovation and impact.
If you want to find out more about what it’s like to work at Makersite, check out our Careers Pagehere
Diversity and Inclusion
If you have a medical condition or an individual need for an adjustment to our process, and you believe this may affect your ability to be at your best – please let us know so we can talk about how we can best support you and make any adjustments that may be needed.
At Makersite, we are dedicated to fostering an environment that champions diversity, equity, inclusion, and belonging. We believe that diverse teams drive innovation and success, and we are proud to be an equal opportunity employer. We welcome applicants from all backgrounds and will consider all applications regardless of age, disability, gender identity, marital status, pregnancy or maternity, race, nationality, religion, sex, sexual orientation, or any other status protected by applicable law. Rest assured, all applications will be handled with the utmost confidentiality.
Originally posted on Himalayas