Senior AI Engineer

About the Position

We are seeking a Senior AI Engineer to build, test, and deploy ML and GenAI components for asset onboarding, industrial diagnostics, and device analytics on Databricks. The specialist will develop predictive models, anomaly-detection algorithms, RAG pipelines, document extraction, and AI agent capabilities.

Responsibilities

• Build, test, and deploy ML and GenAI components on Databricks
• Develop predictive models for asset onboarding and device analytics
• Design and implement anomaly-detection algorithms for industrial diagnostics
• Create RAG pipelines to support intelligent information retrieval
• Implement document extraction workflows for structured and unstructured data
• Develop AI agent capabilities to enable advanced automation scenarios
• Collaborate with cross-functional teams to translate business needs into AI solutions
• Optimize model performance, scalability, and reliability in production
• Monitor deployed models and iterate based on performance metrics and feedback

Requirements

• 3+ years of experience in AI/ML engineering and solution delivery
• Expertise in AI Solution Engineering, including model design and deployment
• Proficiency in Databricks, Spark ML, and distributed data processing
• Background in developing predictive models and anomaly-detection algorithms
• Skills in building RAG pipelines, document extraction, and AI agents
• Understanding of GenAI concepts and industrial diagnostics use cases
• Capability to design end-to-end ML workflows from data ingestion to deployment
• Proficiency in English at an Upper-Intermediate level (B2) or higher

We Offer

• Continuous Upskilling, Learning & Development
  • Diversity of tasks and projects
  • Assessment center for objective review of competency level
  • Personal development plan
  • Mentoring programs and leadership development
  • Certification and professional development support
  • Access to learning platforms including more than 2,500 internal courses
  • English courses taught by certified teachers
• Corporate Benefits
  • Extra leave days
  • Referral bonuses
• Compensation Package
  • Competitive compensation paid in USD
  • Regular salary and performance reviews
• Medical & Healthcare
  • Private health insurance
  • Well-being events
• Working Environment
  • Recreation areas and kitchens
  • Tea, coffee, and snacks
  • Sports equipment and game consoles
  • IT Equipment
  • Microsoft’s Software Assurance Home Use Program (HUP)