The regulatory future of synthetic data
The role of synthetic data in current and upcoming European data regulation
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Become part of the new paradigm in responsible AI development.
Open positions
DevOps Engineer
As a DevOps engineer, you will optimize Aindo's software deployment and management processes across cloud platforms, collaborating closely with teams and customers.
About the company
At Aindo, our mission is to empower companies to harness the potential of their data securely and innovatively. Our Synthetic Data solutions enhance the protection of privacy and the development of fair AI. Synthetic Data mimics real data (a) preserving its statistical properties and analytical utility, (b) without retaining personal information. Hence, it can replace personal data in AI projects, or help rebalancing biased datasets for increased fairness.
Job description
As a DevOps engineer, you will work on Aindo’s CI/CD pipelines and product deployments. Our solution is often deployed directly on our customer’s cloud. Your primary responsibility will be finding optimal and developing reliable ways to automate and improve processes related to software management and deployment on various clouds (Google Cloud, Microsoft Azure, AWS). This also includes a close collaboration with software engineers and sales representatives to ensure that development follows established processes and works as intended. This job also requires collaboration with the customer and the customer tech team to define and implement the optimal architecture to solve their needs.
The tools you will work with include:
- GitHub actions
- IaC tools
- Docker and Kubernetes
Requirements
- Experience with CI/CD pipelines
- Experience with some cloud service providers (Google Cloud, Microsoft Azure, AWS, etc.)
- Good knowledge of Docker
- Good knowledge of Git
- Good knowledge of Kubernetes
- A flair for problem solving
- Willing to learn new technologies
- Good communication skills
- Interaction with the client
- Optionally:
- Experience with Terraform, Pulumi or equivalent tools
- Experience with bash
What we offer
- Attractive compensation comprehensive of salary and lunch perks
- Hybrid work opportunity, in alignment with organizational needs
- Work-life balance, with a generous package of paid vacation
- Health insurance, to support you and prioritize your health and wellbeing
- Social Events with our fantastic team, to celebrate our people and success
- Personal development working at the interplay of science and real-world applications.
How to apply
To apply, please send your CV and a motivation letter to [email protected], with the subject “Application DevOps Engineer”.
Aindo is an Equal Opportunity-Affirmative Action Employer – Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation / Age.
Frontend Developer
As a Frontend Developer, you will optimize Aindo Syntethetic DataOps Platform, integrating machine learning algorithms, and creating user-friendly configurators.
About the company
At Aindo, our mission is to empower companies to harness the potential of their data securely and innovatively. Our Synthetic Data solutions enhance the protection of privacy and the development of fair AI. Synthetic Data mimics real data (a) preserving its statistical properties and analytical utility, (b) without retaining personal information. Hence, it can replace personal data in AI projects, or help rebalancing biased datasets for increased fairness.
Job description
As a Frontend Developer, you will work on the frontend of the Aindo Synthetic DataOps Platform. This includes integrating advanced machine-learning algorithms, finding and developing optimal ways to process large REST API responses, creating and maintaining complex user-friendly configurators, and having a direct impact in the UX/UI of the Aindo Synthetic DataOps Platform.
The tools you will work with include:
- React v18
- TanStack Query
- Axios
- Tailwind
- React Hook Form
- Zod
Requirements
- 2+ years of experience of Typescript frontend programming (React)
- Experience with SPA
- Experience with Astro/Next.js
- Experience in building a component library
- Good knowledge of Javascript, HTML, CSS
- A flair of problem solving
- Good communication skills
- Optionally:
- Experience in handling REST API responses
- Computer Network knowledge
- Unit testing
What we offer
- Attractive compensation comprehensive of salary and lunch perks
- Hybrid work opportunity, in alignment with organizational needs
- Work-life balance, with a generous package of paid vacation
- Health insurance, to support you and prioritize your health and wellbeing
- Social Events with our fantastic team, to celebrate our people and success
- Personal development working at the interplay of science and real-world applications.
How to apply
To apply, please send your CV and a motivation letter to [email protected], with the subject “Application Frontend Developer”.
Aindo is an Equal Opportunity-Affirmative Action Employer – Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation / Age.
Machine Learning Developer
As a Machine Learning Developer at Aindo, you will design, develop, and deploy advanced machine learning models and algorithms.
About the company
At Aindo, our mission is to empower companies to harness the potential of their data securely and innovatively.
Our Synthetic Data solutions enhance the protection of privacy and the development of fair AI.
Synthetic Data mimics real data (a) preserving its statistical properties and analytical utility, (b) without retaining personal information.
Hence, it can replace personal data in AI projects, or help rebalancing biased datasets for increased fairness.
Job description
As a Machine Learning Developer, you will be responsible for developing, documenting, maintaining and deploying AI solutions.
Our ML team focuses on building scalable end-to-end production solutions, including generative models and NLP/NLU tasks.
At Aindo, we are deeply research-oriented, investing heavily in R&D and incorporating cutting-edge technology into our products.
In particular, we are interested in candidates being familiar with the development of custom autoregressive and diffusion architectures.
The tools you will work with include:
- Python language and commonly used ML and Data Science libraries (Pytorch, Numpy, Pandas, Scikit-learn)
- Software version control systems such as Git
- CD/CI tools such as GitHub Actions
- Containerization tools such as Docker
Requirements
- Familiarity with software development and IT operations best practices.
- Proficiency in object-oriented programming with Python.
- Demonstrable experience in machine learning, statistical modeling, or software development.
- A solid foundation and understanding of Machine Learning fundamentals at the mathematical level.
- A flair for problem solving.
- A Master’s Degree in Computer Science, Data Science, Statistics, Mathematics, Physics, or a related field.
What we offer
- Attractive compensation comprehensive of salary and lunch perks
- Hybrid work opportunity, in alignment with organizational needs
- Work-life balance, with a generous package of paid vacation
- Health insurance, to support you and prioritize your health and wellbeing
- Social Events with our fantastic team, to celebrate our people and success
- Personal development working at the interplay of science and real-world applications.
How to apply
To apply, please send your CV and a motivation letter to [email protected], with the subject “Application ML Developer”.
Aindo is an Equal Opportunity-Affirmative Action Employer – Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation / Age.
why you should join us
Work in a friendly and engaging environment
We are driven by a deep passion for science and technology, fostered by close cooperation with academia and active engagement in scientific discourse.
What we offer
A unique role at the forefront of generative AI. Founded in 2018, we are one of the first teams fully dedicated to generative models for synthetic data. Our work has pushed the boundaries of what is possible in this field. We have disseminated our work at top-tier AI conferences, including NeurIPS; in academic journals of the highest quality such as IEEE Access; and secured a patent for our groundbreaking work
Flexibility. We believe that people do their best work when they feel most comfortable. For this reason, we offer the possibility for remote work. We also take your personal circumstances into consideration to facilitate a good work/life balance, for instance with the possibility to work part-time.
A friendly and inspiring work culture. We are a young and ambitious team. We are driven by a shared appreciation for AI and its societal applications. Besides colleagues, we are also friends and we often engage in social events. We value open-mindedness, originality, and creativity and welcome people from all walks of life into our team!
Development opportunities. At Aindo, you get to work at the interplay of science and real-world applications. This means you will deepen your knowledge of innovative technologies, but also of their practical use. We foster your talent by offering opportunities to engage in coursework, attend international conferences, and other growth opportunities.
