AI•Remote
AI Engineer
We are looking for an AI Engineer to design, develop, and deploy advanced machine learning, predictive, and forecasting models within the AriAPLT™ platform. You will work on real-world industrial data to enable predictive maintenance, prescriptive manufacturing, anomaly detection, and intelligent decision support.
Key Responsibilities
- Design, train, and deploy ML models for prediction, forecasting, and anomaly detection.
- Develop time-series, multivariate, and probabilistic models for industrial data.
- Managing the whole model lifecycle from R&D to deployment and monitoring.
- Collaborate with platform engineers to integrate models into production systems.
- Optimize model performance, scalability, and resource efficiency for enterprise-grade.
- Work with highly fast, decision-support, decision-action systems.
- Perform model tuning and evaluation against KPIs and continuous feedback loops.
Requirements
- Strong background in Machine Learning, AI, Data Science.
- Knowledge of generative AI frameworks, such as Langchain and llamaindex.
- Experience with libraries like PyTorch, Scikit-learn, TensorFlow, and pandas/numpy.
- Solid knowledge of linear algebra, methods, forecasting, and anomaly detection.
- Familiarity with data Engineering & NLP, models for alignment, human-ai interaction.
- Experience with classic time-series and state-space models.
- Ability to translate complex industrial issues into scalable insights & KPIs.
Nice to Have (Not Mandatory)
- Experience in industrial manufacturing or automation domains.
- Knowledge of computer vision or digital twin modeling.
- Familiarity with cloud-ML infrastructures (PyLing, Kubernetes, MLFlow).
AI Engineer Application
Please fill out the form below to apply for this position.