AI & Machine Learning Engineer (AWS Cloud)

Act as a critical member of the Data Intelligence team. Research, build, and design artificial intelligence responsible for machine learning and maintain and improve existing AI systems. Serve as a communicator between Data Intelligence team members, data scientists developing models, and the people who construct and run them.

How You Will Make An Impact

- Design, build, and optimize data workflows for Machine Learning and GenAI solutions in cloud environments.
- Develop and deploy Machine Learning and Generative AI (GenAI) models using AWS Sage Maker.
- Create and manage data and model pipelines to improve the efficiency of AI and machine learning systems.
- Prepare and structure data for advanced AI and GenAI solutions.
- Ensure seamless integration of data and AI solutions within cloud architectures, including data security and governance aspects.
- Document and rigorously test models and workflows to meet accuracy and performance requirements.
- Monitor and enhance the performance of Machine Learning models and services in production.
- Manage Data Lake architectures, tailoring data to the needs of Machine Learning and GenAI workloads.

Desired Qualifications

- Proven experience as a Machine Learning Engineer or in Data Science roles, with strong skills in data pipelines and Machine Learning model development.
- Experience working in cloud environments (AWS)



for at least 2 years.
- Solid proficiency in Python and machine learning libraries such as Tensor Flow, PyTorch, or similar.
- Advanced English level.
- Experience using Sage Maker and other AWS data services: S3, AWS Glue, Athena.
- Experience with Generative AI models and deploying them in production.
- Proficiency in Dev Ops tools (Git, pipelines) and infrastructure as code (Terraform, Cloud Formation).
- Ability to work in Agile teams under Scrum methodology.

Location & Hours

Argentina (any part of the country). Shift: 9 a.m to 6 p.m from Monday to Friday. Remote work allowed.

Benefits

- Swiss Medical: SMG-30 (family members included).
- AWS certifications.
- Microsoft certifications.
- Pedidos Ya! Internet and connectivity.
- Competitive salary and benefits.
- One more week of vacation.
- English in company.
- Ability to work remotely.
- An awesome learning environment for you to develop.

EEO Statement

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status. As part of this commitment, we will ensure that persons with disabilities are provided reasonable accommodations.

If you need reasonable accommodations, please let us know by contacting NetrixHR@Netrixglobal.

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📌 GenAI & ML Engineer on AWS Cloud — Remote (Buenos Aires)
🏢 Doist
📍 Buenos Aires