Join us at Provectus to be a part of a team that is dedicated to building cutting‑edge technology solutions that have a positive impact on society. Our company specializes in AI and ML technologies, cloud services, and data engineering, and we take pride in our ability to innovate and push the boundaries of what’s possible.

As an ML Engineer, you’ll be provided with all opportunities for development and growth.

Let’s work together to build a better future for everyone!

Requirements

Comfortable with standard ML algorithms and underlying math

Strong hands‑on experience with LLMs in production, RAG architecture, and agentic systems

AWS Bedrock experience strongly preferred

Practical experience with solving classification and regression tasks in general, feature engineering

Practical experience with ML models in production

Practical experience with one or more use cases from the following: NLP, LLMs, and Recommendation engines

Solid software engineering skills (i.e., ability to produce well‑structured modules, not only notebook scripts)

Python expertise, Docker

English level - strong upper‑intermediate

Excellent communication and problem‑solving skills

Will be a plus

Practical experience with cloud platforms (AWS stack is preferred, e.g., Amazon SageMaker, ECR, EMR, S3,



AWS Lambda)

Practical experience with deep learning models

Experience with taxonomies or ontologies

Practical experience with machine learning pipelines to orchestrate complicated workflows

Practical experience with Spark/Dask, Great Expectations

Responsibilities

Create ML models from scratch or improve existing models.

Collaborate with the engineering team, data scientists, and product managers on production models.

Develop experimentation roadmap.

Set up a reproducible experimentation environment and maintain experimentation pipelines.

Monitor and maintain ML models in production to ensure optimal performance.

Write clear and comprehensive documentation for ML models, processes, and pipelines.

Stay updated with the latest developments in ML and AI and propose innovative solutions.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

📌 Senior ML Engineer (LLMs, AWS) (Madrid)
🏢 Provectus
📍 Madrid