Lead AI Solution Engineer with Databricks, ML

We are looking for a Lead AI Solution Engineer who brings strong expertise in Databricks and Machine Learning to architect, launch, and manage production-level ML systems. The ideal candidate works hands-on as a Data Engineer or Machine Learning Engineer, has demonstrated success delivering both real-time and batch ML solutions, possesses solid skills in building streaming pipelines, and brings experience maintaining the scalability and reliability of ML systems once they are live in production.

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

• 7+ 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

• Exposure to MLflow and established MLOps workflows
• Hands-on background with AWS
• Prior work in Customer Analytics, Recommendation Systems, or Retail industries

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)