AI Scientist Intern developing and implementing models for healthcare solutions. Collaborating with AI teams to drive data - driven decision making.
About the role
- Advanced AI Scientist at HP responsible for architecture and leadership of AI ecosystems. Leading projects in data mining, modeling techniques, and automation systems to drive business innovation.
Responsibilities
- Responsible for the architecture and technical leadership of the end-to-end AI ecosystem including multimodal data pipelines, LLM-based engineering copilots, agentic automation systems, and predictive models for product development monitoring.
- Develop the full stack AI solution (LLMs, ML, agents, APIs, pipelines).
- Design multi-agent workflows for automated monitoring, anomaly detection & reporting.
- Establish LLM fine-tuning, evaluation, RAG, Semantic modelling(NLP/AI)and prompt engineering frameworks.
- Integrate engineering domain data (mechanical, electrical, field, test logs).
- Define MLOps, model governance, observability, and monitoring strategies.
- Collaborate with product development & engineering teams to map use cases.
Requirements
- Four-year or Graduate Degree in Mathematics, Statistics, Economics, Computer Science, Data Science, or any other related discipline or commensurate work experience or demonstrated competence.
- Typically, has 7-10 years of work experience, preferably in data analytics, statistical modeling, machine learning, or a related field.
- Programming Language/s Certification (SQL, Python, or similar)
- Familiarity with mechanical/electrical engineering data formats
Benefits
- Health insurance
- Dental insurance
- Vision insurance
- Long term/short term disability insurance
- Employee assistance program
- Flexible spending account
- Life insurance
- Generous time off policies, including; 4-12 weeks fully paid parental leave based on tenure
- 11 paid holidays
- Additional flexible paid vacation and sick leave
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