Machine Learning Engineer

🔥**Machine Learning Engineer**

Project: Scaling AI/ML models for production (1B+ requests daily).
Location: Remote (Only EU-based candidates 🇪🇺)
Language: English В2

Main Stack:
🔹 Python (TensorFlow, PyTorch, scikit-learn)
🔹 MLOps: MLflow, Kubeflow, TFX
🔹 DevOps: Docker, Kubernetes, Jenkins, GitLab CI
🔹 Cloud: AWS / GCP / Azure

What you will do:
— Build & maintain comprehensive MLOps pipelines.
— Oversee infrastructure for training, deployment, and monitoring.
— Partner with Data Scientists for seamless production integration.
— Ensure scalability and stability of deployed models.

Requirements:
— 4+ years of production experience in ML/MLOps.
— Solid understanding of NLP, Deep Learning, and GenAI.
— Degree in CS, Data Science, or related field.
— Fluent English.

Nice to have: Hadoop, Spark, Kafka, Tableau.



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