Senior AI Engineer with Databricks

About the Position

We are seeking a Senior AI Engineer with Databricks to design, deploy, and operate production-grade machine learning systems, with a strong focus on feature engineering, model training, and real-time inference pipelines.

Responsibilities

• Design and optimize feature engineering pipelines for both batch and real-time workloads
• Build, deploy, and maintain scalable model training and inference pipelines
• Process structured and unstructured data at scale
• Develop streaming solutions using Spark Streaming
• Enable real-time feature generation and model serving
• Ensure reliability, scalability, and performance of ML solutions in production
• Support batch pipelines for model training and retraining
• Operate and maintain production ML systems with a strong track record of delivery

Requirements

• 5+ years of experience building, deploying, and operating offline and online feature engineering pipelines
• Strong experience with model training and real-time inferencing pipelines
• Hands-on expertise in Databricks, Spark/PySpark, Python, and SQL
• Experience processing large-scale unstructured data
• Strong knowledge of Spark Streaming
• Experience with real-time feature generation and low-latency model inference
• Proven track record of running production-grade ML systems
• English proficiency at B2 level or higher

Nice to Have

• Experience with MLflow and MLOps practices
• Familiarity with AWS
• Background in Customer Analytics, Recommendation Systems, or Retail

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)