Remote ML Engineering Manager — Lead, Scale & Deliver

BairesDev; Colombia; A distancia; COP 450.973.000 - 676.459.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

100% remote

Global team

Mentorship & growth

Descripción de la vacante

BairesDev is hiring an Engineering Manager to lead a team of ML engineers, mentor top talent, and collaborate with Product, Data, ML, and Design to drive ambitious roadmaps. You will stay hands-on, shaping architectures while growing the team and ensuring high standards and scalable, reliable systems.

The role emphasizes leadership, collaboration with ML teams, and delivering ML-powered features in a fast-paced, remote environment with strong English skills.

Formación

• 7+ years of experience in software development, with 2+ years in a leadership role.
• Strong programming skills in modern languages such as TypeScript, Python, Go, or Java.
• Deep understanding of system design, APIs, cloud infrastructure (AWS/GCP).
• Hands-on experience with data-driven applications or working closely with ML teams.
• Advanced proficiency in English.

Responsabilidades

• Lead and mentor a team of ML engineers in a fast-paced, collaborative environment, hiring, coaching, and developing top-tier engineering talent.
• Collaborate with cross-functional teams (Product, Data, ML, Design) to define and deliver ambitious product roadmaps.
• Write, review, and ship high-quality, production-grade code when needed.
• Drive architectural decisions and ensure long-term scalability, performance, and reliability of systems.
• Oversee the technical execution of ML features, collaborating closely with data scientists and ML engineers.

Conocimientos

Leadership experience

TypeScript

Python

Go

Java

System design

Cloud (AWS/GCP)

English proficiency

ML collaboration

Herramientas

AWS

GCP

Descripción del empleo

BairesDev is hiring an Engineering Manager to lead a team of ML engineers, mentor top talent, and collaborate with Product, Data, ML, and Design to drive ambitious roadmaps. You will stay hands-on, shaping architectures while growing the team and ensuring high standards and scalable, reliable systems.

The role emphasizes leadership, collaboration with ML teams, and delivering ML-powered features in a fast-paced, remote environment with strong English skills.