AI/ML Engineering Manager

Jobgether • Greater São Paulo Area

Remote

This Job is No Longer Active This position is no longer accepting applications

AI Summary

Lead a high-performing machine learning engineering team, act as senior technical authority on complex AI and GenAI client engagements, and guide critical decisions across ML architecture, MLOps, and GenAI solutions.

Key Highlights

Lead a high-performing machine learning engineering team

Act as senior technical authority on complex AI and GenAI client engagements

Guide critical decisions across ML architecture, MLOps, and GenAI solutions

Key Responsibilities

Lead, grow, and develop a team of ML engineers and architects

Define technical standards and ensure high-quality delivery across machine learning engagements

Act as senior technical authority on client projects, guiding architecture decisions and solution design

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Technical Skills Required

AWS ML and GenAI ecosystem SageMaker Bedrock ML pipelines MLOps/LLMOps Deployment Monitoring Lifecycle management Foundation models Fine-tuning RAG Agent-based architectures

Benefits & Perks

100% remote work environment

Flexible time off policy

Competitive phantom equity program

Paid certifications and exam reimbursements

Annual learning and development budget

Equipment and office stipend for home setup

High-quality laptop and work tools provided

Peer recognition and bonus programs

Individualized professional development planning

Opportunity to work with a global, highly skilled AI/ML team

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Nice to Have

AWS certifications (Machine Learning - Specialty, Solutions Architect - Professional)

Experience building reusable ML frameworks, accelerators, or reference architectures

Knowledge of responsible AI, governance, bias detection, and fairness frameworks

Job Description

In this role, you will lead a high-performing machine learning engineering team while also acting as a senior technical authority on complex AI and GenAI client engagements. You will operate at the intersection of people leadership, architecture design, and hands-on delivery, ensuring both team growth and technical excellence. Your work will directly influence how enterprise clients design, deploy, and scale production-ready ML systems on AWS. You will guide critical decisions across ML architecture, MLOps, and GenAI solutions while shaping best practices across the practice. This is a highly strategic and client-facing role where you will also contribute to pre-sales, solution design, and technical advisory. It’s an ideal opportunity for a leader who thrives in ambiguity, enjoys deep technical challenges, and is passionate about building impactful AI systems and strong engineering teams.

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