Machine Learning Engineer • Mid-Level

Who you are

You have a solid background in Machine Learning Engineering or MLOps with at least 3 years of experience in the field — you've successfully implemented AI solutions and understand the intricacies of working with generative AI technologies. Your expertise includes optimizing prompts and building custom knowledge bases that cater to specific business needs, ensuring that the solutions you develop are both effective and scalable.

You are proficient in Python and have hands-on experience with developing APIs and CI/CD pipelines — your familiarity with containerized solutions like Docker and orchestration tools such as Kubernetes allows you to maintain robust and reliable AI systems. You also have a basic understanding of infrastructure management, which helps you contribute to the overall technical environment.

Your experience with GCP and familiarity with conversational AI will set you apart — you understand the importance of integrating AI solutions within existing business frameworks and can navigate the challenges that come with it. You are a collaborative team player, eager to work alongside data engineers and scientists to enhance the performance of AI solutions.

Desirable

Knowledge of programming languages such as Java or Kotlin is a plus — this will help you adapt to various project requirements and enhance your versatility within the team. Additionally, experience with business rules and quantitative analysis of AI solutions will be beneficial as you work to improve the effectiveness of the systems you develop.

What you'll do

In this role, you will be responsible for the development and deployment of generative AI solutions — your main mission will be to create and orchestrate AI agent workflows in collaboration with business teams, ensuring that the solutions meet the specific needs of different departments. You will optimize prompts and implement pipelines for AI agents, contributing to the overall efficiency and effectiveness of the solutions.

You will also monitor the performance of AI solutions, defining evaluation metrics and proposing continuous improvements — your analytical skills will be crucial in assessing the impact of the solutions and ensuring they deliver value to the organization. Working closely with experienced engineers and data scientists, you will contribute to the evolution of AI solutions, leveraging their expertise to enhance your own skills and knowledge.

Additionally, you will play a key role in maintaining the established technical infrastructure, including APIs, containers, and CI/CD processes — your contributions will help ensure the robustness, scalability, and reliability of generative AI systems. You will be part of a dynamic team that values collaboration and innovation, and you will have the opportunity to make a significant impact on the company's AI initiatives.

What we offer

At CI&T, you will join a team of over 8,000 professionals dedicated to technological transformation — we pride ourselves on our human expertise combined with cutting-edge AI solutions. You will have the chance to work with a diverse range of clients and projects, gaining valuable experience in the rapidly evolving field of AI.

We offer a collaborative work environment where your contributions are valued and recognized — you will have opportunities for professional growth and development, as well as access to resources that will help you stay at the forefront of AI technology. Join us in shaping the future of technology and making a meaningful impact in the industry.