Remote ML Engineering Manager - Lead Systems & Teams

BairesDev; Venezuela; Remote; VES 125,000,000 - 160,714,000; Full time

Benefits offered by this job

100% remote

USD or local currency compensation

Parental leave

Paid time off

Job summary

BairesDev is seeking an Engineering Manager to lead a team of ML-focused engineers, guiding scalable software products and engaging with cross-functional teams to shape ambitious roadmaps. You will stay hands-on, contributing to code and system design while growing the team and elevating engineering standards.

The role emphasizes ML-driven features, cloud infrastructure, and strong CS fundamentals with a global, 100% remote work model and competitive USD compensation.

Qualifications

• 7+ years of software development experience.
• At least 2+ years in technical leadership or engineering management.
• Strong programming skills in TS, Python, Go, or Java.
• Deep knowledge of system design, APIs, cloud infrastructure, and software architecture.
• Hands-on experience with ML-enabled features or data-driven apps.
• Excellent English communication.

Responsibilities

• Lead and mentor a team of ML engineers in a fast-paced setting, including hiring and coaching.
• Collaborate with Product, Data, ML, and Design to define ambitious roadmaps.
• Write, review, and ship production-grade code when needed.
• Drive architectural decisions for scalable, reliable systems.
• Oversee ML feature delivery with data scientists and ML engineers.

Skills

Team leadership

Mentoring

Software development

TypeScript

Python

Go

Java

System design

Cloud AWS/GCP

English fluency

Job description

BairesDev is seeking an Engineering Manager to lead a team of ML-focused engineers, guiding scalable software products and engaging with cross-functional teams to shape ambitious roadmaps. You will stay hands-on, contributing to code and system design while growing the team and elevating engineering standards.

The role emphasizes ML-driven features, cloud infrastructure, and strong CS fundamentals with a global, 100% remote work model and competitive USD compensation.