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🚀 MLOps Engineer 🚀
New
Data

🚀 MLOps Engineer 🚀

Type of work
Full-time
Experience
Senior
Employment Type
Permanent
Operating mode
Hybrid

Tech stack

    English

    C1

    Microservices

    advanced

    Python

    advanced

    AWS

    regular

    Terraform

    regular

Job description

Online interview
Friendly offer

💻 Senior MLOps Engineer


We're looking for a Senior MLOps Engineer to join a top-tier tech company building one of the world’s most advanced media & advertising platforms. You’ll work at scale with proprietary data across smart devices, designing ML infrastructure that personalizes user experiences in real-time. Ready to engineer systems used by millions globally? 🚀


🎯 What’s in it for you:

Real impact – Your work will fuel ML models that connect global brands with their audiences in real time

Modern tech stack – Work hands-on with cutting-edge tools like Sagemaker, EMR, Kubernetes, Airflow, Spark, PyTorch, and more

Growth & knowledge – Collaborate with world-class ML researchers and engineers, access internal training, and attend top industry conferences


🧠 What you’ll do:


Design and scale ML infrastructure with high availability and low latency

Build robust end-to-end pipelines for data processing, model training & deployment

Serve and monitor ML models in production with observability and rollback mechanisms

Automate workflows and optimize for efficiency, reliability, and speed

Prototype new serving architectures, integrate A/B testing and model validation tools

Collaborate with ML engineers to deliver production-grade models at scale

Optionally mentor others and contribute to technical decision-making


🧰 What we’re looking for:


5+ years of experience in building production-ready microservices and infrastructure

Proficiency with AWS (Sagemaker, EMR, Lambda, Step Functions), Terraform, Airflow

Strong Python and Go skills

Familiarity with Spark, Kafka, Docker, Kubernetes, Redis, Aerospike

Experience with CI/CD (GitHub Actions, ArgoCD), observability tools (Prometheus, Grafana, QuickSight)

Knowledge of gRPC, HTTP/2, and distributed systems testing strategies


🎁 Benefits:

Private medical care (for you & your family), Multisport, lunch card, life insurance, flexible hours, monthly team budget, conference access, relocation support, and unlimited entry to Copernicus Science Centre 🌌


📍 Warszawa | 🧑‍💻 Hybrid (3x office) | 🕐 Full-time, UoP


📩 Interested? Apply now and we’ll get in touch with the details!

Undisclosed Salary

Permanent