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Senior ML Engineer (Remote) — MLOps & Production Systems

Cyclad Sp. z o.o.

Remote

PLN 180,000 - 240,000

Full time

Today
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Job summary

A leading IT services company is seeking a Senior Machine Learning Engineer to join their remote development team. This role focuses on designing, deploying, and maintaining scalable machine learning solutions, emphasizing MLOps practices. Candidates should have over 8 years of experience in machine learning, strong Python proficiency, and hands-on experience with ML frameworks like TensorFlow and PyTorch. The company offers a full-time b2b job agreement, private medical care, and a multisport card.

Benefits

Private medical care with dental care
Multisport card

Qualifications

  • Minimum 8+ years experience in machine learning engineering or related roles.
  • Strong proficiency in Python and modern machine learning frameworks.
  • Hands-on experience with MLflow for model lifecycle management.
  • Solid understanding of MLOps principles, including CI/CD and containerization.
  • Experience deploying and operating ML workloads on cloud platforms.

Responsibilities

  • Design, develop, and deploy machine learning models for production environments.
  • Implement and manage MLflow for experiment tracking and model deployment.
  • Optimize ML pipelines for performance and reliability.
  • Collaborate with data scientists to operationalize models.
  • Monitor model performance and perform root cause analysis.

Skills

Python
TensorFlow
PyTorch
Scikit-learn
MLflow
Docker
Kubernetes
AWS
Azure
GCP

Tools

Spark
Airflow
Job description
A leading IT services company is seeking a Senior Machine Learning Engineer to join their remote development team. This role focuses on designing, deploying, and maintaining scalable machine learning solutions, emphasizing MLOps practices. Candidates should have over 8 years of experience in machine learning, strong Python proficiency, and hands-on experience with ML frameworks like TensorFlow and PyTorch. The company offers a full-time b2b job agreement, private medical care, and a multisport card.
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