hoy
Diseñarás, construirás y operarás sistemas de machine learning, pipelines de datos a gran escala y agentes de IA, llevando modelos desde el prototipo a producción con monitoreo. El rol abarca todo el ciclo de vida de ML junto a los equipos de producto y clientes.
Senior ML Engineer About the Company Our client is a technology company building advanced infrastructure powered by data, machine learning, and AI systems to solve complex problems at scale. They are developing large-scale data pipelines, machine learning models, and agentic systems that enable automated workflows and intelligent decision-making. The team is focused on rapidly taking solutions from concept to production. They are looking for a Senior Software Engineer who wants to work close to the core of the technology stack, building and operating robust AI/ML systems. This position is open to candidates in: Colombia, Argentina, Brazil. What will you do in this role? You will be responsible for designing, building, and operating machine learning systems, large-scale data pipelines, and AI agents that power core product capabilities. This role involves working across the full lifecycle of ML systems — from data ingestion and distributed processing to model deployment and monitoring. Your main responsibilities will include: • Designing and building distributed data pipelines to process large datasets. • Developing and deploying machine learning models in production environments. • Implementing agent-based AI systems that interact with external services and internal infrastructure. • Designing scalable architectures for data processing and ML training pipelines. • Establishing observability for pipelines, models, and agents (metrics, tracing, alerting). • Evaluating modeling approaches and optimizing cost vs. performance trade-offs. • Collaborating with product and customer teams to build solutions that drive business impact. • Iterating quickly from prototype to production-ready systems. This role requires strong technical ownership and the ability to build reliable systems end-to-end. What should you bring? We are looking for engineers with strong experience in production machine learning systems, distributed data processing, and scalable infrastructure. Ideally you have: • Strong experience with Spark and SQL in distributed data environments. • Experience building and deploying machine learning systems in production. • Experience working with large and complex datasets. • Experience designing training, deployment, and monitoring pipelines for ML models. • Experience working with cloud services across data, compute, and ML. • Ability to design clear software architectures and well-documented systems. • Strong technical communication and collaboration skills. Languages: Python, Scala Tools / Frameworks: Spark, AWS (Sagemaker / Bedrock), Kubernetes Nice to Have • Experience building products from 0 to production, especially in startup environments. • Experience working with large geospatial datasets and indexing strategies. • Experience building AI agents that operate at scale. • Experience with fine-tuning, distilling, or self-hosting LLM models. • Background in traditional ML with messy datasets and strong evaluation methodologies. • Experience with CI/CD, containerization, and infrastructure as code. What you will receive • Contractor agreement • Compensation in USD • Fully remote work • Opportunity to work on cutting-edge AI and ML infrastructure • Highly technical environment with strong engineering ownership • The chance to build and scale systems that move from idea to production quickly Submit your resume and join a process that can change your life. Best regards, T-mapp Team
Publicada el 9 nov 2026
