TL;DR
Senior MLOps (AI): Building and optimizing infrastructure for machine learning services with an accent on GPU/TPU cluster support, containerization, and orchestration. Focus on deploying ML services in production, configuring CI/CD pipelines, and managing hardware resources efficiently.
Location: Remote (Global)
Salary: $5,000/month net
Company
Emerging Travel Group is a global travel-tech company specializing in developing advanced online booking platforms since 2010.
What you will do
- Support GPU/TPU clusters, containerization, and orchestration (Docker, Kubernetes).
- Audit and optimize infrastructure and costs (batch vs. real-time inference, hardware vs. code issues).
- Set up monitoring, alerting, and manage hardware resources between users.
- Deploy and support ML services (MLflow, Airflow, CVAT, Doccano) in production.
- Configure CI/CD for ML pipelines and manage the complete ML lifecycle (training -> serving).
Requirements
- 4+ years of DevOps experience, 1+ year in MLOps.
- Experience with GPU/TPU infrastructure (NVIDIA stack, CUDA).
- Proficiency with Docker, Ansible, Kubernetes; understanding specifics of bare metal servers.
- Observability stack: ELK, Prometheus, Grafana.
- Experience with ML Serving (Triton/vLLM/analogues).
- Knowledge of PostgreSQL, Redis, Kafka.
- English proficiency at B1 level or higher.
Nice to have
- Python/Bash scripting.
- Cloud platforms (AWS/GCP/Azure/Yandex/Selectel) and Terraform.
- Spark/Hadoop.
Culture & Benefits
- Fully flexible work schedule with no pressure on start times.
- Choice of fully remote, office, or hybrid work model.
- Ambitious and supportive team focused on mutual growth and development.
- Internal programs for adaptation, training, and development of soft skills and leadership.
- Partial compensation for external training and conferences.
- Organized group and individual English lessons, plus speaking clubs.
- Corporate prices on hotels and other travel services.
- MyTime Day Off: an extra day off for well-being and personal matters.
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