Senior AI/ML Engineer

A2G Consulting BV (A2G Technologies) • Netherlands

Visa Sponsorship

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AI Summary

Join our Center of Excellence (CoE) and drive enterprise-scale data and AI initiatives. This role involves building scalable data pipelines, deploying ML models, and delivering AI-powered solutions. 6-8 years of experience in Data Analytics domain and expertise in ETL processes, data modeling, and dat warehousing.

Key Highlights

Drive enterprise-scale data and AI initiatives

Build scalable data pipelines and deploy ML models

Deliver AI-powered solutions

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Key Responsibilities

AI/ML Design, develop, and optimize data pipelines and workflows for advanced analytics and AI solutions.

Implement and maintain scalable ML and AI engineering frameworks to support enterprise-grade applications.

Collaborate with cross-functional teams to deliver high-quality data-driven solutions.

Design and implement robust data pipelines for structured and unstructured data.

Expertise in ETL processes, data modeling, and data warehousing.

Technical Skills Required

SQL NoSQL databases ETL processes Data modeling Data warehousing Machine Learning frameworks TensorFlow PyTorch Scikit-learn Docker Kubernetes CICD pipelines Databricks Microsoft Azure

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Benefits & Perks

Competitive Gross Salary

20 days of holiday per year

Encourage Personal Development - Certification

Income Tax Return Filing

Visa Sponsorship for Candidate & Dependants

Possibility of bonus

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Nice to Have

Experience with cloud infrastructure setup (Azure preferred).

Knowledge of containerization (Docker, Kubernetes) for ML AI workloads.

Job Description

Contract: 12 months (subject to extension).

Location: Amsterdam, Netherlands.

Salary: Not a constraint for the right candidate!

Experience: 6-8 years.

Hybrid: 2 days Work from Home 3 days Work from Office

Your Profile & DNA:

We are looking for an experienced AI/ML Engineer to join our Center of Excellence (CoE) and drive enterprise-scale data and AI initiatives. This is a senior-level role focused on building scalable data pipelines, deploying ML models, and delivering AI-powered solutions across the organization.

If you’re passionate about advanced analytics, GenAI, and production-grade ML systems — we’d love to connect.

Roles & Responsibilities

AI/ML

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