AI Applied Scientist (AI)

TL;DR

AI Applied Scientist (AI): Developing and deploying production-ready AI models and agentic applications for industrial machine health with an accent on time-series data and GenAI. Focus on building reasoning chains, LLM-based insight systems, and optimizing the algorithm lifecycle from research to production.

Company

hirify.global is a leader in Machine Health and Process Health solutions using purpose-built AI technology to help industrial manufacturers optimize production and machine health.

What you will do

• Own the full algorithm lifecycle from problem definition and data analysis to delivering production-ready models.
• Research and build Agentic applications utilizing sensor time-series, textual, and image data.
• Combine statistical methods, deep learning, transformers, and GenAI to extract meaningful industrial insights.
• Collaborate with product teams and customers to develop innovative solutions using new data sources.
• Leverage cloud-based big data platforms, LLMs (GPT, Claude, Gemini), and vector embeddings for stream analysis.

Requirements

• M.Sc. or Ph.D. in Electrical Engineering, Computer Science, Physics, Mathematics, or a related field.
• 5+ years of experience in ML applications, with a focus on time-series modeling, vectoring, and embeddings.
• 2+ years of experience in LLM and Agentic applications, including Eval tools (e.g., LangSmith), HITL, and Fine-Tuning.
• Proficiency in Python for model development, deployment, and monitoring.
• Proven ability to collaborate with cross-functional groups including product managers and data engineers.
• Experience translating research into scalable, production-ready solutions.

Nice to have

• Experience in anomaly detection and AI/ML.
• Experience in feature engineering-based signal processing.
• Experience in optimizing costs of API calls.

Culture & Benefits

• Stock options.
• Paid parental leave.
• Flexible PTO.
• People-first organization with a strong commitment to diversity, equity, and inclusion.