Principal AI/ML Engineer

Symphony Group; Medellín; Presencial; COP 345.554.442 - 483.776.218; Jornada completa

Descripción de la vacante

Symphony Group in Medellín seeks a Principal AI/ML Engineer to lead AI initiatives for global clients. This role involves shaping solutions, building PoCs, and architecting production-ready ML systems across diverse domains.

Ideal candidates will have over 10 years in software engineering or ML, with a robust background in consulting and technical leadership. Proficiency in Python and deep experience with PyTorch, TensorFlow, and CI/CD pipelines is essential.

Formación

• Minimum 10+ years in software engineering or ML, with 5+ focused on production ML systems.
• Strong consulting background in client-facing technical leadership.
• Deep experience with LLMs and modern architectures.

Responsabilidades

• Lead AI initiatives for global enterprise clients.
• Architect scalable deployments and collaborate with data engineers.
• Mentor engineers and communicate technical decisions.

Conocimientos

Python

Machine Learning

PyTorch

TensorFlow

CI/CD

Docker

Kubernetes

Educación

Bachelor's degree in Computer Science or related field

Herramientas

AWS SageMaker

GCP Vertex AI

Azure ML

Descripción del empleo

We are on the lookout for a Principal AI/ML Engineer!

As a Principal AI/ML Engineer at Symphony, you’ll lead AI initiatives for global enterprise clients—shaping solutions, building PoCs, and architecting production‑ready ML systems across domains from creative audio/video to complex business workflows. This is a hands‑on technical leadership role where you define strategy, design end‑to‑end architectures, build core components, and set the technical standards for each engagement.

Responsibilities

• Translate business challenges into AI/ML solutions; lead discovery workshops.
• Build and present PoCs to validate feasibility and value.
• Contribute technical input to proposals, scoping, and estimations.
• Develop models across NLP, CV, audio, and generative AI.
• Lead fine‑tuning and PEFT methods (LoRA, QLoRA, instruction tuning).
• Assess architectural trade‑offs: fine‑tuning vs. prompting vs. off‑the‑shelf.
• Architect scalable deployments (APIs, batch, real‑time).
• Implement CI/CD for ML: automated training, evaluation, versioning, deployment.
• Define monitoring, drift detection, and optimization standards.
• Collaborate with data engineers on pipelines and feature engineering.
• Stay current with foundation models and multimodal innovations.
• Set coding standards and lead design/architecture reviews.
• Mentor engineers and guide research‑to‑production workflows.
• Communicate technical decisions to both engineering and executive audiences.

Qualifications

• Bachelor's degree in Computer Science, Information Technology, or a related field, or equivalent practical experience.
• Minimum 10+ years in software engineering or ML, with 5+ years focused on production ML systems.
• Strong background in consulting, professional services, or client‑facing technical leadership.
• Track record of delivering ML solutions across multiple domains or industries.
• Expert Python; strong software engineering fundamentals.
• Deep experience with PyTorch or TensorFlow and modern architectures (Transformers, Diffusion models).
• Hands‑on with LLMs: fine‑tuning open‑source models (Llama, Mistral), parameter‑efficient methods, and evaluation strategies.
• Model serving, containerisation (Docker/Kubernetes), and CI/CD pipelines.
• Proficiency with AWS SageMaker, GCP Vertex AI, or Azure ML.

Culture Fit

• Are proactive and enthusiastic about your own continuous learning and improvement.
• Have the ability to analyze and understand the business context and logic behind your job responsibilities.
• Enjoy working in a pleasant and cooperative atmosphere.
• Excited about working in international teams and using well‑written and spoken English daily.