Senior AI/ML Engineer (GenAI, AWS)

Provectus; España; On-site; PHP 3,694,581 - 5,541,871; Full time

Job summary

Provectus is seeking a Machine Learning Engineer to join their team in Romblon, España. This role focuses on creating and improving ML models, collaborating with engineering teams, and ensuring optimal performance in production. Candidates should have strong skills in ML algorithms, Python, and experience with LLMs and AWS services.

Ideal applicants will be innovative thinkers with excellent communication skills, ready to contribute to cutting-edge technology solutions that positively impact society.

Qualifications

• Comfortable with standard ML algorithms and underlying math.
• Strong hands-on experience with LLMs in production.
• Practical experience with ML models in production.
• Excellent communication and problem-solving skills.

Responsibilities

• Create ML models from scratch or improve existing models.
• Collaborate with engineering team and product managers.
• Write clear documentation for ML models and processes.
• Monitor and maintain ML models in production.

Skills

ML algorithms and underlying math

LLMs in production

RAG architecture

AWS Bedrock

Classification tasks

Regression tasks

Feature engineering

Solid software engineering

Python expertise

Docker

Strong upper-intermediate English

Excellent communication skills

Problem-solving skills

Tools

AWS services

Deep learning models

Machine learning pipelines

Spark/Dask

Job description

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.

Asan ML Engineer, you’ll beprovided 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.