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.

- Technical 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.