Senior AI Engineer with AWS and Databricks

About the Position

We are looking for a hands-on Senior AI Engineer with strong production experience on AWS and Databricks to join our team in Turkiye. The ideal candidate has successfully delivered enterprise-grade AI products using Databricks-native capabilities and has hands-on ownership of AI agents and Gen AI solutions in production environments.

Responsibilities

• Design, build, and deploy AI/ML solutions across the full software development lifecycle
• Develop and implement AI agents and Gen AI solutions for enterprise-grade use cases
• Own AI solutions end-to-end, from model development and deployment to monitoring and support
• Integrate AI capabilities into business applications and data products
• Work with large-scale data to build and support production AI workloads
• Optimize AI models and pipelines for performance, scalability, and cost efficiency
• Manage model governance, versioning, and lifecycle using MLflow
• Leverage Databricks-native capabilities, including Feature Store, Model Serving, Lakehouse AI, and Unity Catalog
• Collaborate with cross-functional teams to ensure AI solutions meet business and technical requirements
• Monitor and maintain AI solutions in production, ensuring reliability and performance

Requirements

• 5+ years of experience in AI/ML engineering, with a focus on production-grade solutions
• Expertise in AI agents development and Gen AI solutions development
• Proficiency in Amazon Web Services and Databricks
• Skills in MLflow, Feature Store, and Model Serving
• Knowledge of Lakehouse AI and Unity Catalog
• Background in integrating AI capabilities into business applications and data products
• Understanding of large-scale data processing and production AI workload management
• English proficiency at B2 level or higher

Nice to Have

• Familiarity with AWS Bedrock

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)