Description

You will build and deploy generative AI solutions leveraging Google Cloud Platform.

Responsibilities

• Design and implement data pipelines and ETL workflows for ML systems.
• Develop and maintain LLMs and embedding model integrations.
• Deploy and manage ML services using containerization and CI/CD practices.
• Work with vector databases to support knowledge retrieval systems.

Required Skills

• 5+ years of professional experience in data or ML engineering.
• 1-2 years of specific experience building Generative AI applications.
• Expert proficiency in Python and software engineering fundamentals.
• Deep understanding of LLMs and embedding models (OpenAI, Cohere, HuggingFace, Claude, Gemini).
• Experience with orchestration tools such as Airflow or Prefect.
• Proficiency in SQL, NoSQL, and vector databases.
• Hands-on experience with Docker, Git, CI/CD, and model registries.
• Familiarity with Machine Learning and Generative AI concepts.
• Experience working within the GCP environment.

Key Skills

Education

Not specified