Machine Learning Engineer

Playtika; Warszawa; Hybrid; PLN 250,000 - 380,000; Full time

Job summary

Playtika in Warsaw seeks a Senior Machine Learning Engineer to design, build, and scale real-time personalized AI systems powering millions of users. You will apply your backend background and Python expertise to productionize data science prototypes and deploy GenAI capabilities at scale.

You will own end-to-end ML pipelines, collaborate with data scientists and product teams, implement observability and model serving, and stay current with the latest ML frameworks.

Qualifications

• BSc or MSc in Computer Science, Engineering, or a related field.
• 5+ years of experience in ML/Backend engineering with production-grade solutions.
• Strong Python skills and modern API development (FastAPI, Pydantic).
• Hands-on with streaming/data processing: Kafka, PySpark, Airflow/MLflow/Kubeflow.
• Experience deploying containerized apps (Docker, Kubernetes) and model serving.
• Self-driven, innovative, and collaborative across functions.
• Big Advantage: real-world personalization, recommender systems, or RL experience.

Responsibilities

• Design, build, and maintain large-scale ML serving architectures for real-time personalization or other AI systems.
• Transform data science prototypes into production-ready infrastructure and integrate GenAI models.
• Develop robust streaming pipelines for continuous inference and training workflows.
• Develop and maintain AI agents and tooling for AI-driven development workflows.
• Implement observability, tracing, and alerting for production ML systems.
• Collaborate with data scientists, product managers, architects, and cross-functional teams.
• Stay up to date with ML frameworks and GenAI developments.

Skills

Python

FastAPI

Docker

Kubernetes

Kafka

PySpark

Airflow

GenAI

MLOps

Production systems

Education

BSc or MSc in Computer Science

Engineering background

Tools

Docker

Kubernetes

Apache Kafka

PySpark

Airflow

MLflow

Kubeflow

Job description

Ambition Needs a Place to Grow. At Playtika, we create mobile games enjoyed by millions worldwide.

Ambition Needs a Place to Grow. At Playtika, we create mobile games enjoyed by millions worldwide.

Combining the scale of a public company (NASDAQ: PLTK) with the speed and ownership of a startup, we are a global leader where innovation, data, and creativity shape the future of entertainment.

Here, your ideas matter, your decisions impact products, and your growth is supported across global studios.

Bring your hunger where it belongs: at the front of the pack.

Playtika is looking for a Senior Machine Learning Engineer to join our team and build efficient, data-driven AI systems that power our core personalization infrastructure. The ideal candidate has a strong backend engineering background and proven experience designing, deploying, and maintaining high-throughput machine learning architectures using Python.

Responsibilities:

• Design, build, and maintain large-scale ML serving architectures for real-time personalization or other AI systems, impacting millions of users.
• Transform complex data science prototypes into resilient, production-ready infrastructure, and integrate algorithms and GenAI models into production environments.
• Develop robust streaming pipelines to support continuous model inference and training workflows.
• Develop and maintain AI agents and internal tooling to empower AI-driven development workflows and modern workspaces.
• Implement end-to-end observability, tracing, and alerting for production ML systems.
• Collaborate closely with data scientists, product managers, architects, and cross-functional engineering teams.
• Stay up to date with machine learning, serving frameworks, and GenAI developments across the industry.

Requirements:

• BSc or MSc in Computer Science, Engineering, or a related technical field.
• 5+ years of experience as an ML Engineer, Backend Engineer, or similar, with a track record of delivering scalable production solutions.
• High proficiency in Python and modern API development (FastAPI, Pydantic).
• Hands-on experience with streaming and data processing workloads (Apache Kafka, PySpark, Airflow/MLflow/Kubeflow).
• Experience deploying containerized applications (Docker, Kubernetes) and utilizing model serving frameworks.
• A highly self-driven autodidact who is passionate about adopting innovative technologies.
• A team player who thrives in strategic projects, actively participates in decision-making, and collaborates effectively with business and technical functions.
• Big Advantage: Real-world production experience with personalization architectures, recommendation systems, or Reinforcement Learning models.

Subject to applicable laws, we may use artificial intelligence (AI) tools to assist our recruitment teams in the hiring process, including drafting job descriptions, communication, response to applications, assessments and tests, as further described in our Candidates Privacy Notice.

By applying to this job, you acknowledge that you have read and understood our Candidates Privacy Notice, including with respect to the use of AI tools, and consent to the processing of your information as described therein.

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.