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Strong backend role in AI infrastructure with a modern stack and equity. The 4-day office requirement is quite strict, but the domain potential makes it a solid opportunity.
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Salary not specifiedOffice requirementTrendy domainModern stackEquity potential
💡 What you'll do:
• Develop a platform for AI lifecycle management and orchestration.
• Build and maintain data pipelines for model training and quality assessment.
• Create monitoring and analytics services.
• Work in the Google Cloud Platform environment.
🎯 What we expect:
• 4+ years of Python experience.
• Proficient with Flask and databases (relational and non-relational).
• Experience with asynchronous messaging (Pub/Sub, Kafka, RabbitMQ).
• Familiar with containerization (Docker) and CI/CD processes (GitLab, Jenkins).
• Strong skills in designing high-performance distributed systems.
⭐ Nice to have:
• Understanding of ML principles.
• Experience with Aerospike, Kubernetes, and GCP.
🎁 What we offer:
• 💸 Competitive salary + stock options.
• 🏥 Medical insurance for you and 75% off for relatives.
• 🍽️ Lunch budget.
• 🏢 Hybrid flexibility (4 days in-office, 1 from home).
• 🚗 Parking and Multisport card.
• 🎉 Fun office atmosphere and team spirit.
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Source - Telegram channel. Name available after authorization