ML Ops Engineer

Job role: ML Ops Engineer Work Location: Poland (100% Remote work) Mandatory skill required: Strong hands-on experience with Google Cloud Platform (GCP), Kubernetes/GKE, including Helm and Istio, CI/CD pipelines and GitHub Actions, ML model deployment and ML serving, NVIDIA Triton Inference Server, Monitoring and observability using Prometheus and Grafana, Experience with Apache Airflow / Cloud Composer, Working knowledge of Git, containerization and Cloud Build Good to have skills: GPU workloads and Managed Instance Groups (MIG),Retrieval-serving and semantic-search patterns, Basic understanding of Machine Learning and Generative AI, Exposure to ColBERT, RAGatouille or RAG-based search solutions, Google Cloud Storage and versioned model/index management, Multi-market or large-scale data-processing pipelines