AI/ML Applied Researcher – Insights & Recommendations
Core
Research, design, and deploy advanced AI/ML models (anomaly detection, predictive, recommendations) for industrial manufacturers using real-time sensor data and multi-modal inputs.
Role type
Applied AI/ML Researcher
Builds
Production-ready ML models and insights for industrial production efficiency
Domain
Industrial AI / Manufacturing / Time-series analysis
Deliverable
production ML models
Required skills
Time-series data research, ML-based vectorization, Embeddings, Anomaly detection, Python, Applied Science SDLC, Feature engineering, Signal processing
Preferred skills
PyTorch, PyG, Transformers, TGNN, TSFM, Graph Transformer, GNN, CNN, LLMs, Agents, Reasoning chains, Vectorization, Stream analysis
Technologies
Metaflow, Grafana, Outerbounds, Databricks, MLFlow, Vertex AI, Sagemaker
Responsibilities
Own algorithm lifecycle from problem definition to production deployment; Research and build multi-modal models; Engage with customers to develop innovative solutions; Work with cloud-based big data platforms for training and experiments; Partner with product teams on new data types.
Seniority
Mid-Senior, hands-on IC