Senior Machine Learning Engineer

BJAK

Senior Machine Learning Engineer at A1 Engineering building AI-native systems. Owning critical ML subsystems, collaborating with teams, and ensuring production reliability.

Posted 7/19/2026full-timeRemote • 🇵🇹 PortugalSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building and deploying machine learning systems that operate reliably in production environments, with a strong focus on data preparation, model training, and system evaluation. Capable of mentoring peers and collaborating effectively across teams to drive impactful AI solutions.

Highest-signal resume keywords

Machine Learning System DevelopmentProduction-Quality Code WritingModel Debugging and EvaluationCollaboration with Cross-Functional TeamsMentoring and Technical Review

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Machine LearningData PreparationModel TrainingModel EvaluationSystem DebuggingProduction DeploymentIterative DevelopmentPerformance MeasurementReliability EngineeringAI Product Development

Soft Skills

Clear CommunicationOwnershipIndependent WorkFast LearningIterative Improvement

Industry Keywords

AI ProductProduction ConstraintsLatencyCost ManagementSafety Standards

About the role

Key responsibilities & impact

Build core ML systems that power a proactive, long-horizon AI product.
Own work end-to-end: data preparation, training, evaluation, inference, and iteration.
Turn research ideas into working systems that run reliably in production.
Debug model failures and system issues using real production signals.
Iterate quickly: ship, measure outcomes, refine, and repeat.
Collaborate closely with research, product, and engineering to deliver real user impact.
Mentor and review work from other ML engineers through example and technical judgment.
Work under real production constraints: latency, cost, reliability, and safety

Requirements

What you’ll need

You have built and shipped ML systems used by real users.
You understand how modern ML models behave — and misbehave — in production.
You write strong, production-quality code and think in systems, not scripts.
You take ownership, work independently, and push work across the finish line.
You learn fast, communicate clearly, and improve through iteration.

Benefits

Comp & perks

Health insurance
Professional development opportunities