2 months ago
MLOps Engineer (AWS)
Vacancy from Hirify Global, list of international tech companiesPlus is required to make matches and apply
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Job description
Text:
TL;DR
MLOps Engineer (AWS): Building and operationalizing ML platform infrastructure with an accent on automation pipelines and scalable AWS architectures. Focus on bridging AI, Engineering, and DevSecOps to ensure reliable and maintainable model deployment.
Location: Warsaw, Poland
Company
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.
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