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mimi

ML Platform Engineer | Berlin OR Hessen | Germany

Acquism SARL

On-site 3d ago

About the role

Job Information

Date Opened

03/17/2026

Job Type

Full time

Industry

Financial Services

Work Experience

4-6 years

City

Berlin

State/Province

Berlin

Country

Germany

Job Description

Location: Berlin OR Hessen (Germany)

Work Model: Hybrid – 3 days in office

Contract Type: Permanent

Responsibilities

• Design, develop, test, and maintain AI/ML infrastructure within a scalable microservices architecture running on Kubernetes.

• Build and maintain high-quality, secure, and reliable DevOps pipelines and Helm charts

• Work across the backend stack, integrating event-driven systems (Kafka), gRPC services, and REST APIs

• Develop and optimize data pipelines using modern data engineering tools (e.g., Spark)

• Manage ML lifecycle processes using tools such as MLflow

• Contribute to architectural decisions to improve scalability, performance, and system reliability

• Support deployment and monitoring of ML models in complex production environments, including isolated (air-gapped) setups with varying hardware constraints (CPU/GPU).

• Ensure platform reliability and robustness in customer-deployed Kubernetes environments

• Maintain high security and compliance standards aligned with industry best practices (e.g., ISO 27001)

Requirements

• Degree in Computer Science, Engineering, or equivalent practical experience

• 5+ years of experience in AI/ML platform engineering or related roles

• Strong experience with Kubernetes, distributed systems, and data engineering technologies

• Hands-on experience with ML platforms and frameworks (e.g., MLflow, PyTorch, SparkML)

• Familiarity with modern data stack technologies (e.g., Spark, Delta Lake, TensorFlow, ONNX)

• Experience building clean, maintainable, and testable systems following modern software engineering principles

• Knowledge of cloud-native development and DevOps practices (including Helm)

• Experience working in security-sensitive or highly regulated environments is a plus.

• Strong problem-solving and debugging skills

• Excellent communication skills in English and ability to collaborate across teams

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