Machine Learning Engineer

Summary

Join CloudWalk's AI team as a Machine Learning Engineer to design, build, and deploy intelligent systems powering core product experiences. Transform data into models driving automation, personalization, and smart decision-making. This role blends engineering and applied science, focusing on robust, adaptive ML systems. Work on ambitious projects, collaborating with a distributed team. Remote work is offered, emphasizing autonomy, communication, and building meaningful systems. The ideal candidate possesses research curiosity, a builder's mindset, and ownership of problems and outcomes.

Requirements

• Initiative to learn, investigate, experiment
• Ability to communicate and debate in English and Portuguese
• Excellent problem-solving and communication skills
• Strong programming skills in Python and experience with common data science libraries (e.g., pandas, scikit-learn)
• Experience in building and deploying REST APIs using frameworks like Flask, FastAPI, or Django
• Experience with containerization technologies like Docker and orchestration tools like Kubernetes
• Solid understanding of software engineering best practices, including version control (Git), testing, and CI/CD
• Experience with cloud platforms such as AWS or Google Cloud

Responsibilities

• Design, build, and maintain scalable and reliable machine learning infrastructure
• Deploy and monitor machine learning models for real-time inference
• Develop and maintain robust REST APIs for our machine learning services
• Collaborate with data scientists to productionalize their models and algorithms
• Write clean, maintainable, and well-tested production code
• Optimize and improve the performance of our machine learning systems
• Stay up-to-date with the latest technologies and best practices in machine learning and MLOps

Preferred Qualifications

• Experience with MLOps tools and platforms (e.g. MLflow)
• Experience with real-time data processing frameworks (e.g. Kafka)
• Experience as a Machine Learning Engineer, Data Scientist, Data Engineer, or in a similar role
• Experience with deep learning frameworks like PyTorch
• Great SQL skills
• Agentic frameworks like LangChain