Artificial Intelligence – Machine Learning Engineer
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Job Description
AI Engineer guiding design and implementation of AI-based automation solutions for Lean Tech in Medellin, Colombia. Collaborating with teams, optimizing workflows, and ensuring system integration for multiple industries.
Responsibilities:
- 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
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