Наши требования
7+ years of experience in a Machine Learning role in a dynamic, fast-paced, startup-like environment
Strong organizational skills and ability to manage multiple customer needs simultaneously
Proficient at developing data pipelines for training, fine-tuning and inference/serving of LLMs
Experience running and optimizing infrastructure for distributed ML workloads on the major cloud platforms (AWS/EKS, GCP/GKE or Azure/AKS)
Excellent communication and interpersonal skills
Strong sense of ownership, self-motivation and eagerness to acquire new skills and do new things
Willingness to up-level the knowledge and skills of your peers through mentorship, trainings and shadowing
Experience with Ray
Knowledge of MLOps platforms
Knowledge of container orchestration platforms (e.g., Kubernetes), infrastructure as code (e.g. Terraform), CI/CD tools (e.g. Github Actions)