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GenAIAI/MLData Analytics On-site

Engineer, Data Analytics Engineering

Job Overview

Strong understanding of data integration, transformation, and database design.Experience in application development using Java, including building, maintaining, and integrating scalable applications, REST APIs, and backend services. Experience in building and integrating GenAI solutions using LLMs, vector databases, and prompt engineering techniques.

Key points

  1. Proficiency in programming languages such as Python, Java, or Scala.

  2. Knowledge of ETL and data pipeline frameworks (e.g., Apache Spark, Apache Airflow).

  3. Understanding of big data technologies (e.g., Hadoop, Hive, HBase) and cloud platforms (e.g., AWS, Azure, GCP).

  4. Familiarity with GenAI frameworks and APIs (e.g., LangChain, OpenAI, Azure OpenAI, Hugging Face).

  5. Good problem-solving skills and the ability to work in a fast-paced, collaborative environment.

  6. We believe the fusion of various perspectives results in the best outcomes for our employees, our company, our customers, and the world around us.

  7. WD is committed to offering opportunities to applicants with disabilities and ensuring all candidates can successfully navigate our careers website and our hiring process.

  8. Please be aware that WD and its subsidiaries will never request payment as a condition for applying for a position or receiving an offer…

Skills

JavaAzureGenerative AIETLPythonREST APIsAWSGoogle Cloud

Experience: Entry-level · Job type: Full-time

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