Develop and deploy generative AI models, implement LLM solutions, design RAG systems, optimize model performance, and utilize AWS services.

The Data Architect will design data architecture, define technology stacks and collaborate with teams to build data products, ensuring data quality and solution scalability.

As an AWS Data Engineer, you will develop data pipelines, create data models, troubleshoot issues, and collaborate with teams while utilizing tools like PySpark and SQL.

The AWS DevOps Engineer will automate infrastructure, manage application configurations, enhance operational infrastructures, and support cloud migrations for various projects.

Develop and maintain data pipelines using AWS technologies. Collaborate with teams to design data solutions and optimize existing systems. Create data models and perform end-user querying.

The Project Manager is responsible for managing project scope, timelines, budgets, and coordinating with teams for successful execution of data platform solutions.

As a Full Stack Developer Intern, you will develop both front-end and back-end solutions for a marketplace platform, ensuring high-quality and scalable applications while collaborating with a team of engineers and product managers.

Develop and deploy generative AI models, design solutions using large language models, and optimize for performance and reliability.

The AWS Data Engineer will develop and maintain data pipelines using AWS technologies, perform data modeling, and collaborate with teams to meet data needs.

The Senior AWS DevOps Engineer will automate infrastructure provisioning, manage build/release cycles, and enhance operational infrastructure, ensuring best practices in cloud deployment.

Join Mactores as a freelance AWS DevOps Engineer to automate infrastructure, manage deployments, and enhance operations for cloud applications using AWS services and DevOps principles.