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ML OPS @ Link Group

Polsko

  • Degree in Computer Science or a related field.
  • At least 2 years of industry experience working with microservices.
  • Experience with Infrastructure as Code (e.g., Terraform) and cloud platforms (AWS – including Sagemaker, Airflow MWAA, Step/Lambda, EC2, EMR).
  • Proficiency in CI/CD tools such as GitHub Actions, ArgoCD.
  • Familiarity with ETL workflows, big data processing, and ML frameworks (e.g., Spark, Flink, TensorFlow, PyTorch, Kafka).
  • Experience with containerization and orchestration tools (Docker, Kubernetes).
  • Strong scripting/programming skills in Python (Go is a plus).
  • Familiarity with communication protocols (e.g., gRPC, HTTP/2).
  • Experience in real-time monitoring/alerting using Prometheus, Grafana, or AWS Quicksight.
  • Knowledge of distributed caching systems (e.g., Redis, Aerospike).

Preferred Qualifications:

  • 3+ years of experience with low-latency, high-throughput distributed microservices.
  • Experience designing system architecture for ML platforms.
  • Familiarity with online testing frameworks (A/B testing, canary, blue-green deployment).
  • Experience with ML serving tools (e.g., Seldon, Triton, ONNX, TensorRT).
  • Background in AdTech, recommendation systems, or RTB environments.
  • Knowledge of additional OOP languages and SQL scripting.
  • Familiarity with serialization protocols such as Protobuf, FlatBuffers, Cap’n Proto.


Job Title: ML Ops Engineer

We are seeking an experienced ML Ops Engineer to support the development and deployment of ML infrastructure for an advanced advertising platform delivering sponsored content to millions of media-enabled devices worldwide. The role focuses on designing, implementing, and maintaining reliable infrastructure for deploying, monitoring, and managing machine learning models in production environments.

Technologies Used:

  • Python, Go
  • REST, gRPC
  • AWS (Sagemaker, EC2, EMR, Lambda)
  • Terraform
  • Spark, Hadoop
  • Snowflake, Snowpark
  • GitHub Actions, ArgoCD
  • Airflow
  • Kubernetes
  • Grafana, Prometheus
  • TensorFlow, PyTorch
  • Redis, Aerospike
,[Design and manage infrastructure for ML model deployment, monitoring, and maintenance., Build and scale microservices to support ML pipelines and real-time operations., Work with cross-functional teams to integrate ML workflows into production systems., Develop and maintain CI/CD pipelines and infrastructure as code using modern tools., Monitor system health and performance using real-time alerting and visualization tools.] Requirements: Python, Microservices, Infrastructure as Code, Terraform, Cloud platform, Airflow, MWAA, AWS Lambda, AWS EC2, Amazon EMR, ArgoCD, ETL, Big Data, Spark, Flink, TensorFlow, PyTorch, Kafka, gRPC, HTTP, Prometheus, Grafana, AWS, Redis, Aerospike Database, Kubernetes, OOP, SQL Additionally: Sport subscription, Private healthcare.

Kategorie

artificialIntelligence

  • Podrobné informace o nabídce práce
    Firma: Link Group
    Lokalita: Práce v Polsku
    Odvětví práce: artificialIntelligence
    Pracovní pozice: ML OPS @ Link Group
    Směnnost práce fulltime - 40 hours per week
    Nástup do práce od: IHNED
    Nabízená mzda: neuvedeno
    Nabídka přidána: 7. 8. 2025
    Pracovní pozice aktivní
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Práce ML OPS @ Link Group: Často kladené otázky

👉 V jakém městě se nabízí nabídka práce ML OPS @ Link Group?

Práce je nabízena v lokalitě Warszawa, Kraków.

👉 Jaká firma nabírá na tuto pozici?

Tato nabídka práce je do firmy Link Group.

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