- Raleigh - - Estados Unidos de América
XPS Leadership Program - Technology Intern
- Rapid Prototype and MVP development: Implement AI/ML experiments (Python/TensorFlow/PyTorch) for use cases like predictive maintenance, anomaly detection on IoT signals, capital plan recommendations, and LLM‑driven work instructions.
- Data engineering: Ingest, clean, and feature‑engineer operational datasets; evaluate model performance with rigorous business critical metrics.
- Service integration: Expose prototypes via APIs; wire to front‑end or operational workflows within Brightly solutions (e.g., Asset Essentials, Smart Assets/IoT).
- Quality, security & compliance: Apply unit/integration testing, observability, and responsible AI practices aligned to enterprise standards.
- Multi-functional Collaboration: Partner closely with Product Management (PM) on requirements, with Design on UX, and with platform teams on deployment considerations.
- Functional Prototype(s): A validated, documented AI solution with a reproducible evaluation framework.
- Technical & Strategic Brief: A comprehensive write-up covering architecture, data pipeline, model metrics, and risks (performance, drift, bias).
- Demo: A formal presentation of your integrated solution in a sandbox environment, including a roadmap for full-scale production.
- Availability: Full-time (40 hours/week) for 10 weeks (May-July or June-August)
- Location: Hybrid - combination of onsite work at designated office and remote work (no relocation or housing stipend provided).
- Global Mobility: Willingness and ability to relocate internationally for possible future roles upon successful completion of the internship.
- Are pursuing an MBA or Master’s in Computer Science (CS), Data Engineering, or related field.
- Have 5-10 years of prior work experience in a related technical / digital field
- Have hands‑on proficiency experience with Python and ML frameworks; comfortable with APIs and data pipelines.
- Understand time‑series/sensor data, NLP/LLMs, or recommender systems; eager to learn MLOps.
- Exposure to Cloud (AWS and/or Azure), containers, CI/CD, C#/.NET or Java for service integration.
- Familiarity with EAM/CMMS/SAM domains and IoT.
The hourly pay range for this position is $56 per hour for first time Interns or $56 per hour for returning Interns. The actual wage offered may be lower or higher depending on budget and candidate experience, knowledge, skills, qualifications, and premium geographic location. Additionally, interns for Siemens are eligible to contribute into our 401K program.
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