Senior Machine Learning Engineer (AI)

TL;DR

Senior Machine Learning Engineer (AI): Building and scaling end-to-end ML systems with an accent on LLMOps, agentic workflows, and production deployment. Focus on transforming business requirements into reliable AI solutions using frameworks like LangGraph and CrewAI within a large-scale AI Center of Excellence.

Location: Must be based in Colombia or Chile

Company

A global software development and consulting company with a large community of AI and ML specialists.

What you will do

• Design end-to-end ML pipelines covering data ingestion, feature engineering, and model deployment.
• Build and maintain LLMOps pipelines to improve model reproducibility and production visibility.
• Develop agentic systems and multi-agent workflows using frameworks like LangGraph or CrewAI.
• Collaborate with data scientists and clients to deliver NLP and multimodal AI applications.
• Maintain CI/CD/CT pipelines and cloud infrastructure for dependable AI operations.
• Automate and monitor pipeline execution using tools like Databricks, Kubeflow, or Airflow.

Requirements

• At least 3 years of hands-on industry experience in building production-grade ML solutions.
• Advanced knowledge of Python for machine learning and data science.
• Expertise in LLMOps, AgentOps, and experiment tracking tools like MLflow or Weights & Biases.
• Experience with cloud-based AI services on AWS, Azure, or GCP.
• Master’s degree in Computer Science or a related field.
• English proficiency: Upper-Intermediate (B2) or higher.

Culture & Benefits

• Opportunity to work within a large AI and Data Science Center of Excellence with 170+ specialists.
• Exposure to diverse, high-impact AI projects for global clients.
• Support for professional growth and collaboration with cross-functional teams.
• Equal opportunity employer committed to inclusive hiring practices.