Senior AI Engineer/ Databricks, Machine Learning

Job description

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