[Hiring] Machine Learning Engineer @EX Squared LATAM

Role Description

Become an EXpert as a Machine Learning Engineer. At EX Squared LATAM, we collaborate with global clients to build innovative digital solutions that drive real business impact. We are currently looking for a Machine Learning Engineer to join our team and support the development of advanced ML and GenAI solutions for one of our clients. This role offers the opportunity to work on cutting-edge technologies, including LLM evaluation frameworks, ML infrastructure, and Agentic AI systems, within a highly collaborative and fast-paced environment.

• Design and implement scalable ML infrastructure to support model development and deployment
• Develop and maintain evaluation frameworks for Large Language Models (LLMs), including RAG-based systems
• Evaluate model performance using tools such as RAGAS, DeepEval, or similar frameworks
• Contribute to the development of GenAI and Agentic AI solutions
• Build and enhance monitoring systems for ML models in production environments
• Collaborate with cross-functional teams including data scientists, engineers, and product stakeholders
• Apply best practices in model versioning, testing, and deployment pipelines
• Optimize performance, scalability, and cost efficiency in cloud environments

Qualifications

• 5+ years of strong experience with Python for machine learning and backend development
• Hands-on experience with ML infrastructure and model deployment pipelines
• Experience evaluating LLMs using frameworks such as RAGAS, DeepEval, or similar
• Solid understanding of GenAI concepts, including LLMs and Agentic AI systems
• Experience working with Retrieval-Augmented Generation (RAG) architectures
• Proficiency in cloud platforms such as AWS, GCP, or Azure
• Familiarity with monitoring and observability tools for ML systems
• Ability to work independently in a remote, distributed environment
• Advanced English level

Benefits

• Competitive compensation in USD
• 100% remote work in LATAM
• Access to continuous learning and development programs
• A collaborative and multicultural work environment
• Opportunities to work on cutting-edge technologies and global projects