Artificial Intelligence Engineer

Job Title: AI - Data & Analytics Engineer

Location: Hamburg or Dortmund, Germany (Onsite)

Duration: 6 Months (Extendable)

Employment Type: Contract B2B

Language: German

Roles & Responsibilities:

About the Role:

We are seeking a Data & Analytics Engineer with strong experience in Google Cloud Platform (GCP) and Generative AI technologies. The ideal candidate will have hands-on experience with Custom GenAI models and proven AI/ML engineering skills, capable of building, optimizing, and deploying machine learning and GenAI solutions at scale. You will work closely with data scientists, product owners, and engineering teams in a fully onsite environment.

Key Responsibilities:

• Design, develop, and deploy Generative AI and Custom GenAI models using GCP services.
• Collaborate with data science and engineering teams to productionize AI/ML solutions.
• Work on data ingestion, transformation, and pipeline orchestration in the GCP ecosystem.
• Optimize AI/ML model performance and ensure reliable data flow for analytics.
• Translate business problems into scalable AI/ML solutions.
• Ensure compliance with security, privacy, and data governance best practices.
• Stay updated with the latest in GenAI and cloud-based AI technologies.

Mandatory Skills & Experience:

• Generative AI - Strong hands-on experience
• Custom GenAI - Proven implementation experience
• AI/ML Engineering - 4+ years
• Google Cloud (GCP) - 3+ years working with GCP services including BigQuery, Vertex AI, Cloud Functions, etc.
• German Language -Fluent (C1 or above)

Preferred Skills (Nice to Have):

• Experience with tools like Vertex AI, LangChain, or other LLM frameworks.
• Familiarity with MLOps tools and practices (Kubeflow, MLflow, CI/CD).
• Strong Python programming and data transformation skills.
• Knowledge of cloud architecture and infrastructure-as-code (Terraform, Cloud Deployment Manager).

Candidate Attributes:

• Strong problem-solving and analytical skills.
• Excellent communication and collaboration abilities.
• Ability to work independently in a fast-paced, office-based environment.
• Passion for AI innovation and data-driven product development.