Middle AI/ML Engineer

TL;DR

Middle AI/ML Engineer: Design, implement, and deploy production-grade ML solutions, leveraging AI coding tools and contributing to agentic engineering initiatives. Focus on building and optimizing models across supervised, unsupervised, and generative AI tasks, and mentoring junior engineers.

Location: Medellín, Antioquia, Bogotá, Capital District, Bucaramanga, Santander, Cali, Valle del Cauca, Barranquilla

Company

hirify.global is an AWS Premier Consulting Partner and AI consultancy featured in Forrester's AI Technical Services Landscape, with 15+ years of experience and 400+ engineers.

What you will do

• Design and implement ML pipelines from experimentation to production.
• Build, evaluate, and optimize models across supervised, unsupervised, and generative AI tasks.
• Develop and maintain production-grade Python code.
• Actively contribute to LLM-based applications, including RAG systems and agent workflows.
• Mentor junior ML engineers and conduct code reviews.

Requirements

• Demonstrated competency equivalent to 1-3 years of hands-on ML engineering experience.
• Experience deploying at least one ML model to a production or production-like environment.
• Hands-on experience with deep learning: CNNs, RNNs, Transformers training and fine-tuning.
• Solid AWS experience with core ML services: SageMaker, Lambda, S3, ECR, ECS, API Gateway.
• Fluent English (B2+ written and verbal).

Nice to have

• AWS Certifications (Cloud Practitioner, Solutions Architect Associate, or ML Specialty).
• Experience with Kubernetes or container orchestration beyond Docker Compose.
• GraphRAG implementation experience.

Culture & Benefits

• Hands-on work with cutting-edge ML technologies, LLMs, and agentic systems.
• Access to premium AI tooling: Claude Code, Cursor, and hirify.global AI toolkit.
• Remote-first culture with regular team meetups.
• Health benefits, vacation, and public holidays.
• Learning budget for courses, certifications, and conferences.