Senior AI Solution Engineer with Databricks, ML

We are seeking a Senior AI Solution Engineer with expertise in Databricks and Machine Learning to design, deploy, and operate production-grade ML systems. The ideal candidate is a hands-on Data Engineer / Machine Learning Engineer with a proven track record of delivering real-time and batch ML solutions, strong capability to build streaming pipelines, and experience ensuring the reliability and scalability of ML systems in production environments.

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 to ensure consistent performance

Requirements

• 5+ years of experience building, deploying, and operating offline and online feature engineering pipelines
• Proficiency in Databricks, Spark/PySpark, Python, and SQL
• Expertise in model training and real-time inferencing pipelines
• Experience processing large-scale unstructured data
• 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

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

Benefits

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)