AI Engineer
AI Engineer
We are looking for an AI Engineer to design, develop, and deploy advanced machine learning, predictive, and forecasting models within the ARIA platform. You will work on real-world industrial data to enable predictive maintenance, predictive manufacturing, anomaly detection, and intelligent decision support.
Key Responsibilities
Design, train, and deploy AI/ML models for prediction, forecasting, and anomaly detection
Develop time-series, multivariate, and probabilistic models on industrial data
Managing the AI infrastructure required for AI development and deployment
Collaborate with software and data engineers to integrate models into production systems
Optimize model performance, scalability, and explainability for enterprise use
Work with digital twin, decision-support, and automation pipelines
Validate models using real operational KPIs and continuous feedback loops
Requirements
Strong background in Machine Learning / AI / Data Science
Knowledge of generative AI frameworks, such as LangChain and Ollama
Experience with Python, ML frameworks (PyTorch, TensorFlow, scikit-learn)
Solid knowledge of time-series analysis, forecasting, and anomaly detection
Familiarity with the application of LLM models across different business domains
Experience with real-time or large-scale data pipelines
Ability to translate complex data into actionable insights CCC
Nice to Have (Not Mandatory)
Experience in industrial, manufacturing, or automation domains
Knowledge of computer vision or digital twin modeling
Familiarity with cloud AI deployment (Docker, Kubernetes, MLOps)