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Machine Learning Platform Engineer

bjakcareerSpainActAI 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

This Machine Learning Platform Engineer role suits professionals with strong software engineering fundamentals and experience building production machine learning systems or platforms in Spain. The position involves designing and operating the infrastructure that powers AI capabilities for ActAI.

Role Overview

ActAI seeks a Machine Learning Platform Engineer for a full-time position located in Spain. The professional in this role will build the infrastructure and systems that support the organization's proactive AI applications. Responsibilities include managing the entire lifecycle of AI systems, from training and evaluation to deployment, inference, and continuous improvement.

Key Responsibilities

Build and operate machine learning infrastructure and platforms for AI products.
Design systems for model training, evaluation, deployment, inference, and experimentation.
Optimize model serving and inference infrastructure for low-latency and high-throughput workloads.
Enhance the reliability, scalability, latency, and cost efficiency of AI systems.
Develop data preparation, training, evaluation, release, and continuous improvement pipelines.
Create internal platforms and tooling to accelerate experimentation and model deployment.
Establish evaluation and benchmarking infrastructure to track model quality and performance.
Implement production observability, monitoring, tracing, and alerting for machine learning workloads.
Identify system bottlenecks and collaborate with research and product teams to deliver production-ready infrastructure.

Requirements

Strong software engineering background with experience developing production systems.
Practical background in building machine learning infrastructure, platforms, or production ML systems.
Familiarity with model deployment, inference, evaluation, or data pipelines.
Solid understanding of distributed systems and reliability principles.
Ability to write clean, maintainable, and production-ready code.
Comfort working within fast-paced, ambiguous environments.
Strong sense of ownership, focus on experimentation, and commitment to continuous improvement.

Skills and Tools

Python
PyTorch
JAX
vLLM
SGLang
TensorRT-LLM
Cloud infrastructure
Distributed systems
Workflow orchestration and ML/data pipelines
GPU infrastructure and performance tooling
Vector databases and retrieval infrastructure

About the Company

ActAI focuses on building proactive applications for global users to bring intelligence to everyday tasks, workflows, and conversations with minimal prompting. The organization aims to create persistent context, high reliability for long-running workflows, and real-world task completion to reduce hallucinations.

How to Apply

Interested candidates should apply directly on the official company careers page.

Skills and tech stack

Questions candidates ask

Where is the Machine Learning Platform Engineer position located?

The role is located in Spain.

What technologies and frameworks are part of the tech stack?

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

What are the primary responsibilities of this role?

Responsibilities include building ML infrastructure, designing model training and deployment systems, optimizing inference performance, establishing observability and monitoring, and collaborating with AI researchers and product teams.

What background is required for this position?

Candidates need strong software engineering fundamentals, experience building machine learning infrastructure or production systems, familiarity with model deployment and data pipelines, and a solid understanding of distributed systems.

How should I apply for the job?

Applicants should apply on the official company careers page.

Ready to apply?

The application is on the official bjakcareer careers page.

Apply on company site