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, Lang Chain, Vertex AI, and Agent Space.
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).
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