Senior DevOps Engineer | AI & MLOps on Azure

Biopharma Careers; Warszawa; Hybrid; PLN 206,000 - 246,000; Full time

Benefits offered by this job

Medical care above statutory

Flexible benefits

Life, disability insurance

Pension plans

Home office allowance

Extra paid holidays

Job summary

Bayer, Warsaw Digital Hub, seeks a Senior DevOps Engineer to operationalize AI/ML workloads on Azure, building scalable, production-grade data solutions across commercial, marketing, product supply, and science domains. You’ll configure CI/CD pipelines, monitor systems, and ensure reliable deployment of models and analytics.

You will collaborate with Data Scientists and AI Engineers, driving industrialization of AI products, implementing cost-optimized pipelines, and contributing to architecture

Qualifications

• Master's or PhD degree with 5+ years of experience in DevOps, MLOps, ML/AI Engineering, Software Development, or related fields.
• Proven background in at least one of: Machine Learning, statistics, mathematics, computer science, or related quantitative/engineering disciplines.
• Proficiency in CI/CD pipeline design, solution orchestration, and performance tuning.
• Strong engineering skills in Python, SQL, PowerShell, Docker, GitHub Actions, and Bash.
• Proficiency with Azure's web application stack– particularly Azure Container Apps, Azure Functions, PostgreSQL, and Redis.
• Good understanding of the Linux operating system.
• Good understanding of deploying workloads to Azure Databricks and Azure Data Factory.
• Proven track record of developing advanced analytics products or backend applications within a cloud environment.
• Strong problem-solving and analytical skills with a pragmatic, production-first engineering mindset.
• Fluent in English, both written & spoken.

Responsibilities

• The Operationalization Expert: you drive the industrialization of AI solutions from experimental notebooks to robust, monitored, production-ready systems.
• You configure, test and deploy workloads on Azure using Azure Container Apps, Azure Functions, PostgreSQL, Redis, Databricks, and Data Factory.
• You scale AI solutions and optimize them for processing time and cost.
• You build and optimize CI/CD pipelines using GitHub Actions, ensuring automated testing and continuous delivery.
• You implement monitoring, alerting, and backup strategies to ensure robustness and availability.
• You enhance reproducibility and scalability of AI workflows, building reusable patterns and automation.
• You collaborate closely with Data Scientists and AI Engineers to manage the lifecycle of AI products.
• You contribute to solution architecture discussions and leverage generative AI, ML, time series forecasting, optimization, simulation, and NLP techniques.

Skills

Python

SQL

PowerShell

Docker

GitHub Actions

Bash

Azure Cloud

Linux

English fluency

Education

Master's degree or PhD in related field

Tools

Azure Container Apps

Azure Functions

PostgreSQL

Redis

Azure Databricks

Azure Data Factory

Job description

Bayer, Warsaw Digital Hub, seeks a Senior DevOps Engineer to operationalize AI/ML workloads on Azure, building scalable, production-grade data solutions across commercial, marketing, product supply, and science domains. You’ll configure CI/CD pipelines, monitor systems, and ensure reliable deployment of models and analytics.

You will collaborate with Data Scientists and AI Engineers, driving industrialization of AI products, implementing cost-optimized pipelines, and contributing to architecture