Lead MLOps Engineer

Jakub
Woropaj

11 years of experience in Data Science and MLOps. Transforming ML operations at any scale – from startups to enterprise, from first model to deployments handling billions of predictions.

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Key Metrics

Generated Value €120M+
Models in Production 14,000+
Infrastructure Cost Reduction 70x
Critical Failures (3.5 years) ZERO
// Career Path

From Data Science to MLOps

Jul 2023 → Present
Lead MLOps Engineer
Bayer Sp. z o.o.
Helping industrialize ongoing projects, guiding and setting standards for the MLOps practice across the organization. Building the MLOps Center of Excellence.
Stack: Python, Databricks, Azure
Feb 2020 → June 2023
Senior Data Scientist
Britenet (Contract)
Large-scale FMCG project: designing and implementing statistical models, coordinating code development, establishing best practices, mentoring team members. Hands-on DevOps and MLOps responsibilities.
Stack: R, Python, SQL, Azure, Snowflake, Docker, Kubernetes, RabbitMQ
Aug 2018 → Oct 2019
Expert Data Scientist
Roche
Developing ML solutions for business, implementing XGBoost with custom metrics, developing R packages, performing feature selection and dimensionality reduction. Advisor on statistical problems and recruitment assessor.
Stack: R, Python, Git, SQL
Jun 2014 → Jul 2018
Senior Data Scientist
Poznań Supercomputing and Networking Center
Statistics, Data Analysis, Machine Learning at Division of Scientific Data Service Platforms. Gene expression analysis on large datasets, glaucoma research where I discovered dependencies not yet described in scientific literature. Daily statistics consultancy for cross-departmental teams.
Stack: R, Python, NGS, Time Series, PCA, XGBoost
// Achievements

Numbers that speak

🏆
18 months
Project of the Year at every executive Bayer townhall
Platform recognized as the gold standard for digital transformation at Bayer. First team to successfully industrialize ML at enterprise scale.
⚡
99%
Deployment Time Reduction
From 2 weeks down to 4 hours. Full automation of ML workflows – from training to production.
🌍
12 countries
Scaled in 18 months
From a pilot in 1 country to operations across 12 European markets. Expansion to LATAM and USA in progress.
💰
€3M
Annual Cloud Savings
Infrastructure cost reduction of 70x while simultaneously scaling 12x. Architecture redesign and computational optimization.
"

Achieving a 70x cost reduction while simultaneously scaling 12x seems impossible. But we did it through systematic optimization – first architecture, then every single computational component. This isn't just about savings – it's proof we can scale indefinitely without linear cost increases.

— approach to ML platform optimization
// Flagship Projects

Enterprise at Scale

Gold Standard

MLOps Platform

Bayer Consumer Health
3,000+
production models
€2.5B
OTC sales impact
€120M
generated value
10 DS
mentored to autonomy

Architected and deployed the flagship MLOps platform powering demand forecasting for OTC drugs across Europe. Created the MLOps Center of Excellence: governance, documentation, training programs.

MLOps Azure Databricks Python MLflow Azure Data Factory
Mission Critical

Demand Forecasting System

Żabka
14,000
stores
560M
predictions daily
35%
waste reduction
€8M
savings / month

ML system processing terabytes of data for 8k SKUs per store. Zero critical failures in 3.5 years. Client was so impressed they brought the entire operation in-house – the ultimate validation.

Azure Python R Kubernetes Time Series Intermittent Demand Forecasting Message Brokers
// Technologies

Tech Stack

MLOps & Infrastructure
Kubernetes Docker MLflow Databricks Azure ML Azure Cloud Spark Snowflake
Data Science & ML
Python R PyTorch scikit-learn XGBoost LightGBM Pandas Time Series SQL
DevOps & Engineering
CI/CD Git GitHub Azure DevOps Linux Monitoring IaC

Let's talk
collaboration

Open to ambitious MLOps projects and leadership roles in organizations that take ML at scale seriously.

[email protected] LinkedIn GitHub