IBM

Federal Data Engineer Co-Op

Python
Description

During your co-op, you can enhance your knowledge and gain professional experience by working on client projects. This role provides an exceptional opportunity to build a compelling portfolio, acquire new skills, gain insights into industry, and embrace novel challenges for your future career.

 

At IBM, we prioritize continuous learning, skill development, and personal growth within a culture of coaching and mentorship. As an intern, you'll experience this culture and have the opportunity to advance to our associate program based on results and performance.

 

Work experiences you could be exposed to:

  • Mentored Analytical Support: Receive mentorship from diverse professionals in science engineering and consulting applying analytical rigor and statistical methods to predict behaviors.
  • Generative Artificial Intelligence (AI): Work alongside experienced practitioners to implement generative AI models and algorithms for various applications such as conversational computing, natural language processing, and audio processing.  Work with large datasets to train and evaluate generative models, and optimize their performance using various techniques.
  • Data Integrations: Develop skills in writing efficient and reusable programs to cleanse integrate and model data. Evaluate model results contributing to data-driven insights.
  • Tech-Driven Data Transformer: Utilize program languages like Python to build data pipelines, extracting and transforming data from repositories to consumers. Gain exposure to cloud platforms, ETL tools, and data integration, expanding your tech toolkit.
  • Effective Communication: Assist in conveying analytical results to both technical and non-technical audiences, refining your ability to communicate complex findings.
IBM
IBM
Business Development Business Information Systems CRM Data Management Software

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