MLOps Engineer (AWS)

Location: Warsaw, Poland

Company

hirify.global is the leading provider of European B2B data and sales intelligence, helping businesses discover and engage with qualified decision-makers.

What you will do

• Build and manage automation pipelines to operationalize the ML platform.
• Design and implement secure, reliable, and scalable AWS architectures for model training and deployment.
• Enforce MLOps best practices across Science and Data teams.
• Collaborate with Data Scientists on tooling and model integration.
• Monitor and maintain production-critical ML services.
• Bridge AI, Engineering, and DevSecOps for efficient ML deployment.

Requirements

• Strong fundamentals in cloud architecture, specifically with AWS.
• Deep understanding of modern MLOps, Machine Learning, and Data Engineering fundamentals.
• Experience with Infrastructure as Code (Terraform, CDK or similar).
• Proficiency in CI/CD pipelines (GitHub Actions, CircleCI or similar) and containerization (Docker, ECS, Kubernetes).
• Ability to read and write proficient Python code.
• English: Fluent (C1) communication and teamwork skills required.

Nice to have

• Experience with MLOps platforms like SageMaker, VertexAI, or Databricks.
• Ability to read and write Scala code.
• Knowledge of frameworks such as scikit-learn, Keras, PyTorch, or Tensorflow.
• Experience with SQL/NoSQL databases and data lakehouse architectures.

Culture & Benefits

• Inclusive community that supports, challenges, and inspires members every day.
• Culture focused on ownership, customer understanding, and celebrating impact.
• Commitment to fostering a diverse and supportive workplace for underrepresented groups in tech.
• Opportunity to make a tangible impact within a global organization.