Role overview
- A competitive salary and benefits.
- Collaborative and open environment where you will be exposed to bleeding edge technologies.
- Work with a local team in Málaga, located in the Green Ray building, with international exposure and support to grow in your career.
- Modern hardware like MacBook Pro and peripherals.
- Exciting and challenging projects that make a real impact across different fields.
- You’ll work on innovative projects that combine AI, data, and software engineering to drive real impact.
We are looking for a self-starter who thrives in agile, fast-paced environments and can navigate ambiguity with confidence. Someone with a strong work ethic, curiosity, and a drive to make an impact.
If these values resonate with you and you are ready to roll up your sleeves, welcome to Tupl!
Disclaimer
Tupl is committed to a diverse and inclusive workplace. We do not discriminate on the bias of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
What you'll work on
You will directly contribute to the evolution of TuplOS by designing, implementing, and optimizing AI and ML components. Your responsibilities will include:
Core AI & ML Development
- Develop and maintain the AI components of TuplOS, including the Machine Learning Toolkit.
- Implement and optimize deep learning models for classification, prediction, anomaly detection, and other use cases.
- Build and maintain pipelines for model training, validation, deployment, and monitoring.
- Ensure implementation quality, robustness, and scalability for production environments.
What we're looking for
- Experience building AI agents, retrieval-augmented generation (RAG), or domain-specific LLM tools.
- Knowledge of MLOps frameworks (MLflow, Kubeflow, etc.).
- Familiarity with data annotation tools and computer vision concepts.
- Experience with asynchronous programming (asyncio, aiohttp).
- Understanding of Python packaging, dependency management, andDevContainers.
- Experience with CI/CD tools, Kubernetes, or GPU environments.
- Experience with Linux environments, scripting, and performance optimization.
- Flexibility to travel.
Tags & focus areas
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