Cloud AI Engineer (fixed term project)

Summary

Cloud AI Engineer on a 3.5-month fixed-term contract building multi-step Agentic AI workflows and ML systems using Vertex AI, MLOps, and Python for a global IT services company.

This is a fixed-term contract for 3,5 months with possibility of extension.


Minimum Qualifications:
  • Bachelor’s degree in Computer Science, Mathematics, Statistics, Engineering, or a related field, or equivalent practical experience.
  • Experience in machine learning and artificial intelligence.
  • Coding and scripting proficiency in Python, Perl, C, C++, or Java.
  • Experience in technical client service or consulting.
  • Fluent English communication skills.
  • echnical Skills: Vertex AI, MLOps, Document AI, and Generative AI. Experienced in building multi-step Agentic AI workflows with ADK, Agent Engine, LangChain, Vertex AI, and AgentSpace.

Preferred Qualifications:
  • Solid understanding of production ML system practicalities.
  • 7+ years of hands-on experience with recommendation engines, data pipelines, or distributed machine learning.
  • Experience with deep learning frameworks (e.g., TensorFlow, PyTorch, XGBoost).
  • Knowledge of data warehousing concepts, including architectures, ETL/ELT, and analytic environments (e.g., Apache Beam, Hadoop, Spark, Hive).
  • Relevant experience in technical consulting.

See also

AI Engineering jobs by country — openings, pay and top skills →

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