Senior AI/ML Engineer — MLOps & Production ML Platform

Acquism SARL; Amsterdam; On-site; EUR 90,000 - 120,000; Full time

Job summary

Acquism SARL in Amsterdam seeks a Senior AI/ML Engineer to lead end-to-end ML pipelines and ML platform development. You will collaborate with data scientists, engineers and product managers to design, deploy, and operate production-ready ML systems powering Digital and Retail services.

The role emphasizes MLOps, CI/CD, cloud infrastructure, and scalable ML workflows using Azure, AWS, Docker, and Kubernetes. Strong Python expertise and a hands-on attitude are essential.

Qualifications

• Proven experience in ML Engineering, MLOps, DevOps, or Data Engineering with exposure to the full ML lifecycle.
• Hands-on experience building or maintaining ML pipelines and workflows.
• Strong Python skills with experience using MLflow, Scikit-learn, PyTorch, or similar frameworks.
• Experience with cloud platforms, particularly Azure and AWS.
• Solid understanding of containerization (Docker) and orchestration (Kubernetes).
• Experience with CI/CD tools (GitHub Actions, Azure DevOps).
• Familiarity with Infrastructure as Code (Terraform).
• Strong communication skills and a collaborative mindset.

Responsibilities

• Design, develop, and maintain end-to-end ML pipelines for training, validation, deployment, and monitoring.
• Support scalable ML solutions across use cases such as recommendations, forecasting, and automation.
• Productionise data science models into reliable, scalable services.
• Build and operate ML services using Airflow, Azure ML, and FastAPI.
• Automate model deployment and lifecycle management using CI/CD pipelines (GitHub Actions, Azure DevOps).
• Improve reliability, observability, and performance of the ML platform.
• Implement monitoring, alerting, and model drift detection using tools like Azure Monitor, NewRelic, Grafana, and custom logging.
• Manage and evolve infrastructure using Terraform, Docker, and AWS Fargate.
• Collaborate cross-functionally with engineering, data, and product teams.

Skills

ML Engineering

MLOps

DevOps

Data Engineering

Python

Cloud platforms

Azure

AWS

Docker

Kubernetes

CI/CD

Terraform

Communication

Tools

Airflow

FastAPI

Azure ML

Snowflake

Azure Data Lake

GitHub Actions

Azure DevOps

Terraform

Job description

Acquism SARL in Amsterdam seeks a Senior AI/ML Engineer to lead end-to-end ML pipelines and ML platform development. You will collaborate with data scientists, engineers and product managers to design, deploy, and operate production-ready ML systems powering Digital and Retail services.

The role emphasizes MLOps, CI/CD, cloud infrastructure, and scalable ML workflows using Azure, AWS, Docker, and Kubernetes. Strong Python expertise and a hands-on attitude are essential.