👋 About us

At Pruna, we’re on a mission to make AI more efficient to build a better future.

While AIs from Big Tech are transforming our societies, for better or for worse, we're levelling the playing field by building tech that makes AI models as accessible and sustainable as possible.

After years of research on efficient ML we decided that the best way to spread our impact was to take it into our own hands. Each of us cares deeply about empowering people to maximize their impact while minimizing their carbon footprint.

🔍 Role Description

As an MLOps Engineer at Pruna AI, you will play a crucial role in managing and optimizing our machine learning infrastructure. We are seeking talented individuals at various levels of experience who are enthusiastic about improving AI operations. Your responsibilities will include:

Development of Pruna’s SaaS Platform

• Contribute to the development and maintenance of Pruna’s SaaS cloud platform, designed for model compression and benchmarking
• Design and develop responsive, user-friendly interfaces using basic frontend technologies
• Implement and optimize backend services to support the platform’s functionalities, including model compression, performance evaluation, and user interaction through the UI
• Collaborate with software engineers, ML engineers, and product teams to ensure seamless integration and high-quality user experience

Management of R&D Cluster

• Oversee the R&D cluster of the company, including individual machines on AWS that users can start and work on daily.
• Manage and maintain a SLURM cluster, facilitating the execution of batched experiments and jobs for the team
• Ensure optimal performance, scalability, and reliability of the compute resources used for research and development

People you will work with

• ML Research Engineers: Scale their work, manage experimentation setups, pipelines, and testing environments
• MLOps Engineers: Collaborate on the integration of Pruna's solutions in proprietary and established cloud platforms
• Go-to-Market Team: Qualify new partnerships, experiment together on new tools and offering for the ML community to generate leads and convert customers

🌟 Your Skills

We would love to see

Software Engineering

• Good understanding of machine learning algorithms and techniques
• Proficiency in programming languages commonly used in MLOps (e.g., Python, C++, Java)
• Experience with infrastructure as code (IaC) tools such as Terraform or CloudFormation

Cloud Computing and DevOps

• Expertise in cloud computing platforms
• Experience with containerisation technologies
• Experience in designing, managing, and optimising CI/CD pipelines
• Experience with orchestration tools and automated deployment practices

Collaboration and Communication

• Good communication and collaboration skills to work effectively across diverse teams
• Experience in working within an agile development environment
• Strong sense of project ownership and personal responsibility
• Passionate about making AI accessible to everyone.

It is a plus if you have

• Experience with deep learning frameworks
• Contributions to open-source MLOps projects or communities

We’d love to hear from you — even if you don’t meet 100% of the requirements.

⚖️ Expected Salary

We pay top market rates based on seniority and location, leveraging publicly available data that we share with you during the process. We also aim to provide competitive and useful benefit packages.

🛤️ Recruitment process

The recruitment process consists of 4 interviews to check the expectations, technical skills and team/culture fit of the candidate.

1. Intro Call - We have a chat to get to know you, discuss your expectations, and give a feeling of who we are. [~1 hour call]

2. Foundations - We test the foundational knowledge that are important for the role you applied for (e.g. problem solving, coding). [~1 hour call]

3. Challenge - Depending on the role you applied for, we will dive together into a task that is representative of the work that you would be doing at Pruna AI. [~2/3 hours preparation + ~1 hour call]

4. Meet the team - You will have the chance to meet the team and get to know better the everyday life at Pruna AI. [~1 hour call]

Accessibility note: To ensure that everybody who is interested in joining Pruna AI has equal opportunity and ability to start that journey, we have made sure our hiring process is efficient, flexible, and accessible. From the application to interviews, our team will adapt to your needs and what works best to help you show your best.

💜 Our Values

We care deeply about the organization we are growing to achieve our goal of making AI accessible and sustainable. There's many ways we could manage our people and work, and it will evolve over time, however we wanted to share the following main aspirations we want to uphold:

🧠 Decide Wisely

Make rational, customer-focused decisions based on collected insights and experiences.

🤝 Trust by Default

Assume good intentions, communicate transparently and precisely, a and create a safe space for collaborating.

🌍 Foster Inclusion

Build an enjoyable and supportive workplace that values integrity, personal growth, diverse backgrounds and perspectives. Read our Code of Conduct for more info :)

🌱 Grow Together

Provide actionable feedback and credit to strengthen teamwork and collaboration.

🚀 Learn Relentlessly

Embrace adaptability in a fast-moving landscape to drive innovation and efficiency.

Department

Engineering

Role

MLOps Engineer

Locations

Munich , Paris, Europe (Remote)

Remote status

Fully Remote

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