Senior AI/ML Engineer (GenAI, AWS)

Provectus; Madrid; Presencial; EUR 45.000 - 70.000; Jornada completa

Descripción de la vacante

Provectus is looking for an ML Engineer to join their innovative team. The ideal candidate will have strong expertise in standard ML algorithms, LLMs, AWS Bedrock, and solid software engineering skills.

Your responsibilities will include creating ML models, collaborating with teams, and developing experimentation roadmaps. Join us to push the boundaries of technology and contribute to meaningful projects that impact society.

Formación

• Comfortable with standard ML algorithms and underlying math.
• Strong hands-on experience with LLMs in production, RAG architecture, and agentic systems.
• Practical experience with ML models in production.

Responsabilidades

• Create ML models from scratch or improve existing models.
• Collaborate with the engineering team and data scientists.
• Develop experimentation roadmap.
• Monitor and maintain ML models in production.

Conocimientos

Standard ML algorithms

LLMs in production

AWS Bedrock

Feature engineering

Software engineering skills

Python

Docker

Strong English

Communication skills

Problem-solving skills

Herramientas

Cloud platforms (AWS preferred)

Deep learning models

Spark/Dask

Descripción del empleo

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.