VirtualiticsVI

AI Data Engineering Intern

Virtualitics
United States only
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Overview of Role:

In this role you will support our customer proof of concept team as they rapidly deliver AI solutions to our current and potential customers. You will be part of a dynamic team that is applying AI to rapidly address some of the most compelling problems in the US public sector. Must be US based.

Key Responsibilities:

  • Support the team in data generation, engineering, and exploration tasks (80% of the time).
    · Apply LLM techniques to gather and optimize data needed for customer engagements (15% of the time).
    · Prepare and present findings and demos to stakeholders (5% of the time).
    · Collaborate with the team to understand prospect requirements and assist in building customized demos and deliverables.
    · Utilize Python for data analysis, engineering and exploration tasks, with a willingness to enhance Python skills as needed.
    · Apply basic data exploration techniques and statistical reporting to derive insights from data.

Qualifications:

· Currently pursuing a degree in Computer Science or a related STEM field.

· Strong foundation in Python.

  • Knowledge of data exploration and web-based data acquisition techniques

What you will experience and develop:

· Practical application of state of the art data visualization and exploration technology
· Practical application of machine learning and AI
· Work in a fast-paced, team oriented environment with daily stand-up meetings and communication
· Develop problem solving skills and opportunity to develop attention to detail
· Develop effective working relationships and communication skills both internally and client facing
· Impactful projects that contribute to team success
· Learn and develop your data exploration and visualization skills with our platform, Explore.

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About the job

Apply before

Jun 04, 2024

Posted on

Apr 05, 2024

Job type

Full Time

Experience level

Entry-level

Location requirements

Hiring timezones

United States +/- 0 hours
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