AI Data Engineer

Skills

Collaborate with cross-functional teams to identify AI initiatives/opportunities and understand their data engineering requirements. Analyze and preprocess data sets to ensure they are compatible with API calls and generative AI models. Develop data pipelines and workflows to automate data collection processing and integration tasks. Implement data cleaning transformation and quality assurance techniques to ensure high-quality input data. Standardize and document best practices for using the NEE AI platform including prompt development and model selection. Work closely with the NEE AI platform team to customize and optimize platform functionalities for specific AI projects. Stay up to date with the latest advancements in AI data engineering and related fields. Provide technical guidance and support to other team members working on AI initiatives.

Description

Drive AI initiative
Strong understanding of data modeling, SDLC, and generative AI tools
Knowledge of DevSecOps concepts like test automation, Github action pipelines and AWS infrastructure are big pluses
Knowledge of DevSecOps concepts like test automation, Github action pipelines and AWS infrastructure
Experience with natural language processing (NLP) and text data
Detailed Job Description:
Data engineer/SDET resource.
The primary responsibility of this role is to drive AI initiatives by leveraging data engineering skillsets and working with the NEE AI platform.
The successful candidate will have a strong understanding of data modeling, SDLC, and generative AI tools.
They will play a key role in standardizing prompts and best practices across our application teams.
Knowledge of DevSecOps concepts like test automation, Github action pipelines and AWS infrastructure are big pluses.

Responsibilities

• Bachelor’s or master’s degree in computer science, engineering, or a related field.
• Strong understanding of generative AI algorithms and techniques.
• Proficiency in a major programming language such as Java, Python, JavaScript, C#
• Knowledge of cloud computing platforms and services, such as AWS or Azure.
• Excellent problem-solving skills and ability to work independently or in a team.
• Strong communication and collaboration skills.
• Ability to multitask and prioritize tasks in a fast-paced environment.
• Experience with natural language processing (NLP) and text data.
• Top 3 responsibilities you would expect the Subcon to shoulder and execute:
• Collaborate with crossfunctional teams to identify AI initiativesopportunities and understand their data engineering requirements
• Analyze and preprocess data sets to ensure they are compatible with API calls and generative AI models
• Develop data pipelines and workflows to automate data collection, processing, and integration tasks