AI Applied Scientist – Insights & Recommendations
Core
Develop and deploy advanced AI/ML models (Time-series, Deep learning, LLMs, Agentic applications) to provide real-time production insights and recommendations for industrial manufacturers.
Role type
Senior Applied Scientist (Industrial AI/ML)
Builds
Production-ready ML models, Agentic applications, and recommendation systems for manufacturing efficiency.
Domain
Industrial AI, Manufacturing, Time-series analysis, Large Language Models (LLMs)
Deliverable
production ML models
Required skills
Time-series modeling, Deep learning, Transformers, LLMs and Agentic applications, Python, Model deployment and monitoring, Feature engineering, Vectorization and embeddings, Anomaly detection
Preferred skills
Signal processing, API cost optimization
Technologies
Python, GPT, Claude, Gemini, LangSmith, CrewAI, LangGraph, BERT, w2v, FastText, FastEmbed, GloVe, TikToken
Responsibilities
Own the algorithm lifecycle from problem definition to production-ready models; Combine classic methods with inference techniques to extract data-driven insights; Research, design, and build Agentic applications on top of sensor time-series and textual data; Engage with customers and collaborate with product teams to develop innovative solutions.
Seniority
Senior, hands-on IC