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Machine Learning Platform Engineer

bjakcareerGermanyActAI 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

ActAI seeks a Machine Learning Platform Engineer in Germany to construct and maintain the infrastructure supporting artificial intelligence functionalities. This position suits engineering professionals focused on building scalable machine learning systems and reliable production workflows.

Role Overview

ActAI is developing proactive applications designed to organize daily tasks and conversations without requiring complex user prompts. The Machine Learning Platform Engineer designs and operates the backend architecture spanning model training, evaluation, inference, and continuous improvement. This professional collaborates with research and product teams to transform experimental models into dependable, high-throughput production environments.

Key Responsibilities

Construct and manage machine learning infrastructure and platforms for AI products.
Design architectural systems for model deployment, inference, and experimentation.
Optimize model serving infrastructure to achieve low latency and high throughput.
Develop dependable data preparation, training, release, and continuous evaluation pipelines.
Create internal tooling and platforms that accelerate team experimentation and model shipping.
Implement production monitoring, tracing, observability, and alerting for machine learning workloads.
Address system bottlenecks to enhance overall reliability, scalability, and cost efficiency.

Requirements

Strong software engineering background with experience developing production systems.
Practical background in building machine learning platforms or production ML infrastructure.
Familiarity with model inference, deployment, data pipelines, or evaluation.
Solid comprehension of distributed systems and reliability principles.
Capacity to write maintainable, clean, production-grade code.
Adaptability to fast-moving and ambiguous work settings.

Skills and Tools

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

About the Company

ActAI builds proactive applications intended to bring intelligence to everyday workflows, conversations, and tasks with minimal prompting. The company focuses on persistent context, real-world task completion, and long-running workflow reliability to reduce application hallucinations.

How to Apply

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

Skills and tech stack

PythonPyTorchJAXvLLMSGLangTensorRT-LLMCloud infrastructureDistributed systemsWorkflow orchestrationGPU infrastructureVector databasesLLMMachine LearningDistributed Systems

Questions candidates ask

Where is the Machine Learning Platform Engineer role located?

The position is based in Germany.

What is the primary mission of ActAI?

ActAI aims to build proactive applications that bring intelligence to daily tasks, conversations, and workflows with minimal to no prompting.

What technologies and frameworks are used in the tech stack?

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

What are the core responsibilities regarding model serving?

Responsibilities include designing systems for model training and deployment, optimizing serving infrastructure for low latency and high throughput, and building observability and monitoring for ML workloads.

How should interested candidates apply?

Candidates should apply directly on the official company careers page.

Ready to apply?

The application is on the official bjakcareer careers page.

Apply on company site