AI & Data Engineering Apprentice
New
S
Simple Technology SolutionsTechnology Consulting
RemoteFull-TimeEntry
Salary not disclosed
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Job Details
- Experience
- No prior professional experience required
- Required Skills
- AWSPythonSoftware DevelopmentSQLAgileArtificial IntelligenceCloud ComputingAzureData engineeringGitHub
Requirements
- High School Diploma or GED equivalent.
- US Citizenship.
- No prior professional experience required.
- Demonstrated interest in technology, data, or AI through coursework, self-study, personal projects, or extracurricular activities.
- Strong analytical thinking and problem-solving skills.
- Effective written and verbal communication skills.
- Ability to work independently and collaboratively in a fast-paced, project-driven environment.
- Commitment to continuous learning and professional growth throughout the duration of the program.
- Bachelor's Degree in Computer Science, Information Technology, Data Science, or related field preferred.
- Foundational exposure to Python, SQL, or cloud platforms (AWS or Azure) preferred.
- Experience with collaboration tools such as GitHub or Agile project management platforms preferred.
Responsibilities
- Complete structured learning plans covering AI, machine learning, data engineering, cloud platforms, and software development fundamentals.
- Participate in hands-on labs, guided exercises, and practical projects to build a strong technical foundation.
- Pursue industry certifications in relevant technology areas as outlined in their individualized development roadmap.
- Engage in pair programming, collaborative development, and AI solution-building projects alongside experienced STS mentors.
- Contribute to internal innovation and automation projects, data engineering initiatives, and cloud modernization efforts.
- Develop proficiency with leading AI tools and platforms, including generative AI frameworks, LLMs, cloud services, and data analytics platforms.
- Apply responsible AI, data governance, and security best practices throughout all work.
- Participate in professional development coaching, career planning, and client engagement preparation activities.
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