AI • Communication Design • Digital Transformation • Conversational Commerce
201 - 500 employees
🛍️ eCommerce
Yesterday
AWS
Azure
Cloud
Docker
ElasticSearch
Elixir
Google Cloud Platform
Grafana
JavaScript
Kubernetes
MongoDB
MySQL
Postgres
Python
PyTorch
React
Scala
Spark
Tensorflow
Terraform
TypeScript
Go
AI • Communication Design • Digital Transformation • Conversational Commerce
201 - 500 employees
🛍️ eCommerce
• Deploy, optimize, and monitor LLMs in production environments • Build and maintain scalable pipelines with low-latency inference • Work with tools like Hugging Face and MLFlow • Implement monitoring frameworks and alerting systems • Collaborate with AI engineers and document MLOps processes
• 5+ years of experience in MLOps or DevOps, focusing on LLMs deployment • Experience with Hugging Face, MLFlow, Docker, and Kubernetes • Strong cloud platform knowledge (AWS, Azure, GCP) • Proficiency in Python with ML libraries like TensorFlow and PyTorch • Excellent problem-solving and communication skills
• Competitive salary with performance review every 6 months • 10 days paid holidays during the first year • Weekends off and national holidays • Flexible working environment • Visa support including full sponsorship • Housing allowance for nearby residents • Club activity allowance • Shuffle Lunch allowance • Bi-monthly free flow beer party
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