Cloud AI Engineer
Netrix Global2 months ago
Buenos Aires, ArgentinaMid Level
Responsibilities
- Design, build, and optimize data workflows for machine learning and Generative AI solutions in cloud environments.
- Develop and deploy machine learning and Generative AI models using AWS SageMaker.
- Create and manage data and model pipelines for AI and machine learning systems.
- Prepare and structure data for advanced AI and GenAI solutions.
- Integrate data and AI solutions into cloud architectures, including security and governance considerations.
- Document and rigorously test models and workflows for accuracy and performance.
- Monitor and improve the performance of machine learning models and services in production.
- Manage data lake architectures for machine learning and GenAI workloads as a desired responsibility.
Requirements
- Proven experience as a Machine Learning Engineer or in data science, including data pipelines and machine learning model development.
- At least 2 years of experience working in AWS cloud environments.
- Strong Python skills and proficiency with machine learning libraries such as TensorFlow or PyTorch.
- Advanced English proficiency.
- Experience with SageMaker and AWS data services including S3, AWS Glue, and Athena.
- Experience with Generative AI models and deploying them in production.
- Proficiency with DevOps tools such as Git and pipelines, and infrastructure-as-code tools including Terraform and CloudFormation.
- Ability to work in Agile teams using Scrum methodology.
Benefits
- Remote work from anywhere in Argentina, with some travel required.
- Monday-Friday schedule from 9 a.m. to 6 p.m.
- Swiss Medical SMG-30 health coverage, including family members.
- AWS and Microsoft certification opportunities.
- Pedidos Ya! Happy Club benefit.
- Internet and connectivity support.
- Five Netrix days off.
- Company English instruction.
- Competitive salary and benefits, with a learning-focused work environment.
About Netrix Global
Netrix Global is an engineering-focused IT consultant and managed service provider that designs, deploys, and runs cloud infrastructure, cybersecurity, data & AI, modern work, and application development solutions for businesses. The privately held company, founded in 1989 and headquartered in Bannockburn, Illinois, generates revenue through professional services and recurring managed services contracts. It serves clients across regulated sectors including healthcare, financial services, government, education, manufacturing, and legal, with deep expertise in Microsoft ecosystems.