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Machine Learning Platform Engineer

bjakcareerPortugalActAI Engineering
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Salary
Not listed
Job type
Full-time
Work mode
Remote
Experience
Mid
Posted
28 Sept 2026
Status
Open · checked 7d ago

About this role

The Machine Learning Platform Engineer position at ActAI is located in Portugal and suits professionals with a strong software engineering background who want to build foundational infrastructure for AI-native applications. This role focuses on scaling the systems, pipelines, and tooling that transform machine learning research into reliable production environments.

Role Overview

ActAI seeks a Machine Learning Platform Engineer to design and operate the technical architecture behind its artificial intelligence stack. The professional in this position will bridge the gap between research and production by creating scalable systems for training, evaluation, inference, and continuous improvement. Collaboration with artificial intelligence engineers, researchers, and product teams is central to the role, ensuring that model requirements translate into cost-efficient, low-latency infrastructure.

Key Responsibilities

Build and manage machine learning platforms and infrastructure for artificial intelligence products.
Design architectures supporting model training, evaluation, deployment, inference, and experimentation.
Optimize model serving infrastructure to handle high-throughput and low-latency workloads.
Develop pipelines for data preparation, training, evaluation, model release, and continuous iteration.
Create evaluation and benchmarking infrastructure to track model quality, performance, and regressions.
Implement production observability, monitoring, tracing, and alerting for machine learning operations.
Identify performance bottlenecks across the machine learning stack and resolve system limitations.

Requirements

Strong software engineering foundations with a history of building production systems.
Practical background in developing machine learning infrastructure, platforms, or production machine learning applications.
Familiarity with model deployment, inference, evaluation, or data pipelines.
Solid understanding of distributed systems and system reliability.
Capability to produce clean, maintainable, production-quality code.
Comfort operating within ambiguous and fast-moving environments.
Demonstrated ownership, experimentation skills, and a commitment to continuous improvement.

Skills and Tools

Python
PyTorch and JAX
Large language model and machine learning serving infrastructure including vLLM, SGLang, and TensorRT-LLM
Cloud infrastructure
Distributed systems
Machine learning and data pipelines with workflow orchestration
GPU infrastructure and performance tooling
Vector databases and retrieval infrastructure

About the Company

ActAI focuses on developing proactive applications designed to bring intelligence to everyday tasks, conversations, errands, and workflows with minimal prompting. The organization aims to replace basic, non-AI-native applications with reliable, long-running workflows, persistent context, and real-world task completion that minimizes hallucinations.

How to Apply

Interested candidates should submit their application directly on the official company careers page.

Skills and tech stack

PythonPyTorchJAXvLLMSGLangTensorRT-LLMCloud infrastructureDistributed systemsGPU infrastructureVector databasesLLMMachine LearningDistributed Systems

Questions candidates ask

Where is the Machine Learning Platform Engineer position located?

The role is located in Portugal.

What core technologies will be used in this role?

The tech stack includes Python, PyTorch, JAX, serving tools like vLLM, SGLang, and TensorRT-LLM, cloud infrastructure, distributed systems, workflow orchestration, GPU tooling, and vector databases.

Who will the Machine Learning Platform Engineer collaborate with?

The engineer will work closely with artificial intelligence engineers, researchers, and product teams.

What is the primary mission of ActAI?

ActAI builds proactive applications with minimal prompting to bring intelligence to everyday workflows, conversations, and tasks while reducing hallucinations.

How should candidates apply for the job?

Candidates should apply on the official company careers page.

Ready to apply?

The application is on the official bjakcareer careers page.

Apply on company site