AI Engineer

Hely: Budapest
Cég: thyssenkrupp Components Technology Hungary Kft.
Kategória: Mérnök

Develop and operationalize solutions across classical AI/ML/DL and generative AI use casesBuild, evaluate, and optimize machine learning and deep learning models for business applicationsIntegrate data and AI services from APIs, third-party platforms, cloud services, and internal systemsDevelop robust pipelines for data preparation, feature engineering, model inference, and AI workflow orchestrationEnsure solution quality through testing, monitoring, validation, performance optimization, and responsible AI practicesCollaborate closely with data engineers, analysts, web application developers, and other stakeholders to understand data needs and ensure data is readily available and accessibleDocument architectures, processes, and implementations, and promote best practices in AI engineering and MLOps 2+ years of experience in Machine Learning Engineering, AI/GenAI Engineering, Applied ML, or Data ScienceDegree in Computer Science, Engineering, or a related field, or equivalent practical experienceStrong Python skills for AI/ML development, automation, and data processingExperience with Pandas, NumPy, scikit-learn, PyTorch and/or TensorFlow; FastAPI is a plusSolid SQL and PySpark knowledge for large-scale data processingHands-on experience with Databricks for analytics and AI/ML workloadsExperience building LLM applications, including RAG, agent frameworks, vector databases, and model evaluationExperience with Azure services (App Service, Container Apps, Key Vault, Storage, Azure OpenAI/AI Foundry, AI Search) preferredPractical Docker and containerization experienceExperience integrating APIs, cloud services, and enterprise systemsProficiency with Git and version controlExposure to Airflow, Kafka, or similar orchestration tools is a plusStrong analytical, problem-solving, and communication skillsAbility to explain technical concepts to non-technical stakeholdersCollaborative mindset, cross-functional teamwork, and strong attention to data quality

Címkék: University

profession.hu - 2 napja

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