
AWS Machine Learning Engineer
- Argentina
- Permanente
- Tiempo completo
- Our team works remote base, in a collaborative environment
- We have a strong team with opportunities to expand their skillsets and gain further knowledge across multiple parts of the organization
- 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 SageMaker.
- 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)
- 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 TensorFlow, PyTorch, or similar.
- Advanced English level.
- Experience using SageMaker and other AWS data services: S3, AWS Glue, Athena.
- Experience with Generative AI models and deploying them in production.
- Proficiency in DevOps tools (Git, pipelines) and infrastructure as code (Terraform, CloudFormation).
- Ability to work in Agile teams under Scrum methodology.
- Swiss Medical: SMG-30 (family members included).
- AWS certifications.
- 99% discount in Mercado Pago payments.
- Internet and connectivity.
- Competitive salary and benefits.
- English in company.
- Ability to work remotely.
- An awesome learning environment for you to develop.