Artificial Intelligence Engineer

Job DescriptionWe are looking for an Artificial Intelligence Engineer who will take an active role in AI, data analytics, and prediction projects, and who can develop end-to-end AI solutions without relying on RPA tools.In this role, we expect a team member who can translate diverse business problems into data- and AI-driven models, process the right data using the right methods, and ensure that developed models are integrated into decision-making processes and enterprise systems.We are seeking candidates with a Bachelor’s or Master’s degree in Computer Engineering or related fields, and a minimum of 5 years of experience in data engineering and/or software development.ResponsibilitiesTranslate business needs from internal stakeholders into data-driven problem definitionsPerform data collection, cleaning, feature engineering, and analysisDesign and work with ETL / ELT processes and data pipelinesSelect appropriate models for regression, classification, time series forecasting, and anomaly detectionCollaborate with internal stakeholders to analyze business processes and re-architect them using an AI-native automation approachTrain, test, validate, and evaluate the performance of modelsDesign and develop LLM-based AI and automation solutionsBuild solutions for document understanding, text processing, and intelligent classification using NLP, LLM, and RAG approaches(Preferred) Develop container-based services using Docker or similar technologiesIntegrate LLM and ML models into enterprise systems via APIs, services, and event-driven architecturesAnalytically design how model outputs translate into business decisionsReport developed models, produce interpretable outputs, and maintain proper documentationDevelop PoC (Proof of Concept) and pilot implementations when requiredTake AI projects from concept to production end-to-endIdentify and improve performance bottlenecks, reliability issues, architectural constraints, and system design gapsApply MLOps practices, including model versioning, monitoring, drift detection, and retraining workflowsTechnical QualificationsAdvanced development experience with PythonExperience building AI- and software-driven automation solutions without using RPA toolsHands-on experience designing and developing LLM-based AI solutionsExperience with OCR, document processing, or unstructured data pipelinesExperience working with SQL and NoSQL databasesStrong knowledge of NumPy, Pandas, SciPy, and related ML / NLP librariesSolid understanding of supervised and unsupervised learning and predictive modelingExperience with regression, classification, clustering, anomaly detection, and time series analysisKnowledge of model evaluation metrics (Accuracy, Precision, Recall, F1, RMSE, etc.)Ability to translate business requirements into technical AI automation solutionsStrong analytical thinking and problem-solving skillsAwareness of overfitting / underfitting and model improvement techniquesAbility to design and implement RESTful, API-first integrationsUnderstanding how model outputs integrate into business processesAwareness of data privacy regulations (KVKK / GDPR) and enterprise data security principles