Senior ML Engineer: MLOps & Real-Time Data

DCG Poland

Warszawa

Hybrid

PLN 180,000 - 300,000

Full time

3 days ago
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Benefits offered by this job

Private medical care
Co-financing for sports card
Dedicated consultant support

Job summary

DCG Poland is seeking a skilled ML Engineer to manage end-to-end model lifecycles, implement MLOps, and build real-time/batch data pipelines using Spark and Python. You will collaborate with data scientists, DevOps, and IT to deliver robust ML solutions and analytics for stakeholders.

The role requires 5+ years in Python/Spark, substantial AWS ML experience, and strong English communication. Join a team focused on advanced analytics and scalable data processing in Warsaw.

Qualifications

  • Proficiency in Python and Spark (5+ years).
  • Hands-on AWS ML/data processing services (S3, Glue, SageMaker, Lambda, StepFunctions/Airflow/MWAA).
  • Experience with ML frameworks (TensorFlow or PyTorch) and model deployment.
  • Strong SQL (Spark/Hive SQL) and data workflows.
  • Familiar with distributed systems and big data ecosystems.
  • Excellent English communication.

Responsibilities

  • Manage the lifecycle of ML models from development to deployment and monitoring.
  • Implement MLOps practices for CI/CD, testing, and monitoring.
  • Work with Spark and Python for data ingestion and transformation (real-time and batch).
  • Build distributed big data pipelines for massive datasets.
  • Collaborate with data scientists, DevOps, and IT to deliver ML solutions.
  • Engage with stakeholders to develop analytics models.

Skills

Python
Spark
AWS
ML frameworks
SQL
GIT
Agile
English

Tools

Spark
Hadoop/Hive
AWS CLI
boto3
Airflow/MWAA
Git

Job description

DCG Poland is seeking a skilled ML Engineer to manage end-to-end model lifecycles, implement MLOps, and build real-time/batch data pipelines using Spark and Python. You will collaborate with data scientists, DevOps, and IT to deliver robust ML solutions and analytics for stakeholders.

The role requires 5+ years in Python/Spark, substantial AWS ML experience, and strong English communication. Join a team focused on advanced analytics and scalable data processing in Warsaw.

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