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Location: Amsterdam, Netherlands (Hybrid)
Contract: 6 months (renewable)
Start Date: ASAP
Experience: 6+ years
Rate: TBN
AIML Engineer – Center of Excellence (CoE) with several years of experience in the Data Analytics domain.
Key Responsibilities
- Design, develop, and optimize data pipelines and workflows for advanced analytics and AIML 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.
- Ensure compliance with best practices for data governance, security, and performance.
- Support infrastructure deployment for analytics platforms and AI solutions (good to have).
Must-Have Skills
- Design and implement robust data pipelines for structured and unstructured data.
- Expertise in ETL processes, data modeling, and data warehousing.
- Strong knowledge of SQL and NoSQL databases.
Machine Learning (ML) Engineering
- Build, train, and deploy ML models at scale.
- Experience with ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
- Ability to optimize models for performance and accuracy.
AI Engineering
- Develop AI-driven solutions for predictive analytics and automation.
- Hands-on experience with GenAI tools and frameworks.
- Implement AI algorithms for NLP, computer vision, or recommendation systems.
Good-to-Have Skills
- Familiarity with cloud infrastructure setup (Azure preferred).
- Knowledge of containerization (Docker, Kubernetes) for ML/AI workloads.
- Experience in CI/CD pipelines for data and ML solutions.
- Understanding of security and compliance in cloud deployments.
External Certifications
- Databricks certifications (preferred).
- Microsoft Azure certifications (preferred).
Key Skills
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