Задачи
•Construct, validate, and implement ML and GenAI components using Databricks
•Design predictive models supporting asset onboarding and device analytics
•Architect and build anomaly-detection algorithms for industrial diagnostics
•Develop RAG pipelines that enable intelligent information retrieval
•Build document extraction workflows handling both structured and unstructured data
•Create AI agent functionalities that support advanced automation use cases
•Work with cross-functional teams to convert business requirements into AI solutions
•Enhance model performance, scalability, and reliability within production environments
•Track deployed models and refine them based on performance data and user feedback
Требования
•At least 3 years of experience in AI/ML engineering and solution delivery
•Strong background in AI Solution Engineering, including model design and deployment
•Proficiency in Databricks, Spark ML, and distributed data processing systems
•Experience creating predictive models and anomaly-detection algorithms
•Competence in constructing RAG pipelines, document extraction systems, and AI agents
•Familiarity with GenAI principles and industrial diagnostics applications
•Ability to architect complete ML workflows from data ingestion through deployment
•English proficiency at Upper-Intermediate (B2) level or above
Условия
•Remote work available from Kazakhstan and four other locations
•No conditions specified
