Lean Tech

Artificial Intelligence – Machine Learning Engineer

Lean Tech

full-time

Posted on:

Location Type: Remote

Location: Colombia

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Tech Stack

AWSAzureCloudGoogle Cloud PlatformPythonPyTorchTensorflow

About the role

  • Guide the design, development, and implementation of AI-based automation solutions
  • Blend high-level design thinking with hands-on prototyping and team enablement
  • Prototype initial versions of AI solutions, iterating across different software tools to identify optimal approaches before delegating and supervising implementation
  • Collaborate closely with the frontend and backend teams to ensure seamless system integration and alignment with project goals
  • Optimize and orchestrate intelligent agents, automation workflows, and backend services to improve reliability, exception handling, and operational efficiency
  • Monitor development velocity and implementation quality using technical indicators like system resilience under stress, clarity of end-user data output, and response accuracy
  • Act as a key contributor in solution reviews, debugging sessions, and performance tuning activities.

Requirements

  • Bachelor’s or Master’s degree in Computer Science, Machine Learning, Artificial Intelligence, or a related field
  • 2+ years of experience in Machine Learning or AI-focused engineering roles
  • Proven expertise in designing, prototyping, and leading implementation of AI solutions using Large Language Models (LLMs), agent orchestration frameworks, and automation pipelines
  • Advanced experience with NLP and audio processing, including ASR (Automatic Speech Recognition), TTS (Text-to-Speech), voice activity detection, and sentiment analysis
  • Strong proficiency in Python, with hands-on experience using ML frameworks such as TensorFlow, PyTorch, and Hugging Face Transformers
  • Deep understanding of architectural decision-making, system modularization, and scalability in AI solutions, including no-code/low-code and backend integration
  • Familiarity with MLOps practices and tools for model versioning, testing, and deployment in production environments
  • Experience with real-time streaming systems and latency optimization for interactive AI applications
  • Strong command of cloud platforms (AWS, Azure, or GCP), with emphasis on AI and speech processing services
  • Ability to define and enforce quality standards, including stress testing, exception handling, and monitoring of key performance indicators
  • Excellent debugging and system troubleshooting skills, particularly in multi-component or distributed AI systems
  • Outstanding communication skills to collaborate with stakeholders and translate business needs into scalable technical strategies.
Benefits
  • Professional development opportunities with international customers
  • Collaborative work environment
  • Career path and mentorship programs
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
Machine LearningArtificial IntelligenceLarge Language ModelsNLPASRTTSPythonTensorFlowPyTorchHugging Face Transformers
Soft Skills
communicationcollaborationdebuggingtroubleshootingleadershipdesign thinkingteam enablementquality standards enforcementsystem integrationperformance tuning