- Company Name
- BetaNXT
- Job Title
- Summer Intern, AI Engineering
- Job Description
-
**Job title:** Summer Intern, AI Engineering
**Role Summary:**
Short‑term (10 weeks) internship focused on AI/ML project development, testing, documentation, and deployment within a wealth‑management technology organization. Interns work alongside architecture, product, and operations teams to build AI-driven solutions, improve internal processes, and promote responsible AI practices.
**Expectations:**
- Enrolled full‑time as a senior (up to summer 2026) in Computer Science, Engineering, Data Science, or related field.
- Minimum GPA 3.3.
- Eligible to work in the U.S.
- Full‑time commitment during the internship period.
- Ability to work in a hybrid setting; commutable to the site.
**Key Responsibilities:**
- Develop, test, and deploy AI‑driven solutions for internal process improvement and new product features.
- Maintain and update AI technology standards and documentation.
- Enhance AI automation tools that convert unstructured data to structured formats.
- Research high‑impact AI use cases and construct prototypes.
- Assist with data science and engineering tasks under senior guidance.
- Learn and apply best practices for model training, validation, monitoring, and versioning.
- Promote responsible AI, data privacy, and transparency.
- Participate in code reviews, quality assurance, and adherence to coding standards.
- Contribute to AI strategy discussions with fresh perspectives.
**Required Skills:**
- Strong foundational knowledge of AI concepts, machine learning, and relevant frameworks.
- Proficiency in at least one programming language (Python, Java, etc.).
- Familiarity with software development processes, version control (Git), and technical documentation.
- Analytical, problem‑solving, and troubleshooting abilities.
- Excellent organizational, interpersonal, and communication skills.
- Adaptability, multitasking, and ability to thrive in a fast‑paced environment.
- Commitment to continuous learning and up‑to‑date AI knowledge.
**Required Education & Certifications:**
- Current undergraduate or graduate enrollment (Computer Science, Engineering, Data Science, or related discipline).
- No specific certifications required; familiarity with AI/ML frameworks and tools (e.g., TensorFlow, PyTorch, scikit‑learn) is advantageous.