Senior AI Engineer/ Databricks, Machine Learning

We are looking for a Senior AI Engineer who will construct, validate, and implement ML and GenAI components supporting asset onboarding, industrial diagnostics, and device analytics using Databricks. This professional will create predictive models, anomaly-detection algorithms, RAG pipelines, document extraction systems, and AI agent functionalities.

Responsibilities

• 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

Requirements

• Minimum 3 years working in AI/ML engineering and solution delivery
• Strong background in AI Solution Engineering, covering model design and deployment
• Skilled in Databricks, Spark ML, and distributed data processing systems
• Experience creating predictive models and anomaly-detection algorithms
• Competency in constructing RAG pipelines, document extraction, and AI agents
• Familiarity with GenAI principles and industrial diagnostics applications
• Ability to architect complete ML workflows spanning data ingestion through deployment
• English language proficiency at Upper-Intermediate (B2) level or above