Generative AI Engineer

Next-Link
Amsterdam, Netherlands
2 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English

Job location

Amsterdam, Netherlands

Tech stack

Artificial Intelligence
Computer Vision
Azure
Data Governance
Distributed Data Store
Python
TensorFlow
Management of Software Versions
PyTorch
Large Language Models
Prompt Engineering
Spark
Generative AI
Containerization
Kubernetes
Information Technology
HuggingFace
Data Management
Machine Learning Operations
Software Version Control
Data Pipelines
Docker
Databricks

Job description

We are seeking a highly skilled Generative AI Engineer to design, build, and deploy enterprise-grade AI solutions leveraging Large Language Models (LLMs), multi-modal AI, and scalable data platforms. The role focuses on developing advanced Generative AI use cases while ensuring robust ML Ops practices, data governance, and secure cloud-native deployments on Microsoft Azure., * Design, develop, and deploy Generative AI solutions for NLP, Computer Vision, and multi-modal applications.

  • Research, evaluate, and integrate state-of-the-art LLMs, including fine-tuning and prompt engineering for enterprise use cases.
  • Build and optimize large-scale data pipelines using Azure Databricks and Apache Spark.
  • Develop and maintain ML Ops pipelines for model training, deployment, monitoring, versioning, and lifecycle management.
  • Collaborate closely with data scientists, cloud architects, product owners, and business stakeholders to deliver AI-driven solutions.
  • Ensure adherence to Responsible AI, data governance, security, and compliance standards.
  • Optimize model performance, scalability, and cost efficiency in cloud environments.
  • Contribute to architectural decisions and best practices for AI and data platforms.

Requirements

Bachelor's or Master's degree in Computer Science, RequirementsRequired Skills & Technical Expertise

  • Strong proficiency in Python and ML/AI frameworks such as TensorFlow, PyTorch, and Hugging Face.
  • Deep expertise in Generative AI, Large Language Models (LLMs), prompt engineering, and model fine-tuning.
  • Hands-on experience with Azure Databricks, Apache Spark, and distributed data processing.
  • Solid understanding of Azure cloud architecture, including designing and deploying cloud-native AI solutions.
  • Strong experience with CI/CD pipelines for ML workflows.
  • Hands-on knowledge of ML Ops, model monitoring, and version control.
  • Experience with containerization and orchestration tools such as Docker and Kubernetes., * Bachelor's or Master's degree in Computer Science, Data Science, Artificial Intelligence, or a related field.

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