ML Engineer (AdTech)

Location: Poland; hybrid work from Warsaw with in-person project meetings when required

Company

hirify.global is a global AI-first digital transformation and engineering partner delivering data platforms, AI solutions, cloud services, and digital products across 16 countries.

What you will do

• Build, deploy, and maintain production-grade machine learning services and specialized tooling for advertising-domain models.
• Design and orchestrate ML engineering workflows covering model packaging, deployment strategies, observability, and operational stability.
• Productionize models in collaboration with Data Science and Research teams.
• Develop automated deployment pipelines, model monitoring, alerting, rollback strategies, and reproducible model lifecycle management.
• Troubleshoot production ML systems, perform root cause analysis, and drive continuous improvements.
• Apply DevOps and SRE principles and use AI-assisted coding tools to improve reliability, scalability, maintainability, and engineering productivity.

Requirements

• Strong software engineering fundamentals and experience writing production-quality, modular, and maintainable code.
• Proven experience deploying and operating machine learning models in production environments.
• Hands-on experience with automated monitoring, alerting, and production troubleshooting.
• Advanced knowledge of MLOps, including model lifecycle automation, CI/CD pipelines, and release management.
• Practical experience with cloud platforms, preferably Google Cloud Platform, supporting large-scale data and ML workloads.
• Strong Python and SQL skills in machine learning engineering contexts, including training orchestration and inference support.
• Experience with containerized services and production deployment environments.
• Solid understanding of DevOps principles and SRE practices applied to machine learning systems.
• Ability to collaborate effectively with Data Science, Research, and engineering teams; familiarity with AI-assisted coding tools.

Nice to have

• AdTech, advertising technology, ranking, or recommendation systems experience.
• Distributed data processing and feature engineering pipelines, such as Vertex Pipelines, Dask, or Spark.
• Cloud-based model serving ecosystems and microservice architectures.
• Cross-language model integration patterns.
• Feature stores and train/serve consistency controls.
• GCP services including Vertex AI, BigQuery, and Cloud Storage.

Culture & Benefits

• Hybrid work model from Warsaw with participation in in-person project meetings when required.
• Collaboration with Data Science, Research, and engineering teams in a consulting and delivery environment.
• Work on modern applications, data platforms, and AI solutions using technologies including AWS, Azure, GCP, Databricks, and Snowflake.

Hiring process

• CV review, HR call, interview, client interview, and decision.