Sr Machine Learning Engineer - Labs & Science Kit

MercadoLibre
Bogotá, Medellín
Workplace: HybridFull timeFunction: Data Science & Machine LearningSkills: ["Problem-solving","Continuous learning"]

Design and scale innovative, secure ML systems that solve real problems with high impact. Evolve the ML toolkit by building ML services, data profiling tools, and libraries for foundational models. Develop robust Python microservices for data flows, model training/inference, and production operations, integrating messaging, storage (KVS), streaming, and large-scale data processing. Optimize training and inference using GPU acceleration and advance generative AI adoption via MCP servers, skills, and agents.

Loading

Loading job details...

Preparing the role view and application actions.

FursaFursa
MercadoLibre
MercadoLibre
2 days ago

Sr Machine Learning Engineer - Labs & Science Kit

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 14 hours agoStatus: Live

Job Summary

Design and scale innovative, secure ML systems that solve real problems with high impact. Evolve the ML toolkit by building ML services, data profiling tools, and libraries for foundational models. Develop robust Python microservices for data flows, model training/inference, and production operations, integrating messaging, storage (KVS), streaming, and large-scale data processing. Optimize training and inference using GPU acceleration and advance generative AI adoption via MCP servers, skills, and agents.
Location: Bogotá, Medellín
Workplace: Hybrid
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Evolve the ML toolkit by designing and maintaining ML services, data profiling tools, and libraries for foundational models.
  • •Develop robust Python microservices enabling data flows, model training, inference, and production operations.
  • •Integrate solutions with messaging, KVS storage, streaming, databases, and large-scale data processing.
  • •Implement and optimize training and inference pipelines leveraging GPU acceleration and efficient compute resource usage.
  • •Drive adoption of generative AI through MCP servers, skills, and agents to empower technical teams.

Key Requirements

  • •Experience developing backend services in Python focused on ML Engineering and MLOps.
  • •Practical knowledge of the core Data Science and Machine Learning stack.
  • •Strong understanding of experimentation, model validation, evaluation metrics, and best practices for deploying models to production.
  • •Experience with distributed services for messaging, asynchronous processing, streaming, and large-volume data processing.
  • •Knowledge of GPU-accelerated computing libraries, frameworks, and patterns to optimize models at scale.
Experience:Machine learningMLOpsDistributed systems
Skills:Problem-solvingContinuous learning
Tech Stack:PythonMicroservicesMLOpsGPUKVSStreamingMCP

Company Brief

MercadoLibre
Operates Latin America's leading e‑commerce marketplace and fintech ecosystem, offering online buying and selling, classifieds, payment processing, credit, and logistics services across multiple countries in the region.
Industry: Online Marketplaces
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Buenos Aires, Argentina
Founded: 1999
Glassdoor
Glassdoor: 3.8
WebsiteLinkedIn