AI Segmentation & Deployment Lead

Philip Morris International; Kraków; Hybrid; PLN 269,000 - 322,000; Full time

Benefits offered by this job

Private medical & dental care

Life insurance

Subsidized meals

Employee pension plan

Job summary

Philip Morris International in Kraków offers a hybrid work model with on-site days to advance data science maturity and AI readiness across the organization. You will own the Data Science Framework, set standards, and lead the deployment of scalable AI solutions.

Responsibilities include guiding model deployment pipelines, ensuring reliability, and coordinating releases across markets while collaborating with Consumer Segmentation teams.

Qualifications

• 7–10 years of experience in ML/engineering or data engineering.
• Experience leading technical teams, vendors, or external partners.
• Strong knowledge of MLOps and cloud platforms.
• Proficiency in Python or R and databases (Oracle, SQL Server, MySQL).

Responsibilities

• Own and evolve the Data Science Framework for AI readiness and scalability.
• Define architecture standards and code quality guidelines.
• Lead data governance, privacy, and compliance topics.
• Drive innovation by evaluating and implementing new AI, data science, and MLOps technologies.
• Design and manage model deployment pipelines and AI product releases.
• Coordinate technical releases across markets and ensure smooth deployment processes.

Skills

ML Engineering

Data Engineering

MLOps

Python

SQL

Cloud Platforms

Team Leadership

Stakeholder Mgmt

Analytics

Problem Solving

Tools

Oracle

SQL Server

MySQL

Job description

Philip Morris International in Kraków offers a hybrid work model with on-site days to advance data science maturity and AI readiness across the organization. You will own the Data Science Framework, set standards, and lead the deployment of scalable AI solutions.

Responsibilities include guiding model deployment pipelines, ensuring reliability, and coordinating releases across markets while collaborating with Consumer Segmentation teams.