Senior Machine Learning Engineer

Senior Machine Learning Engineer to design, build, and operate end-to-end real-time ML systems for live games. Responsibilities include understanding games/players and business goals to identify ML opportunities, building real-time, event-driven ML systems from data to low-latency serving, developing and deploying ML models that shape personalized player experiences, creating scalable ML platform capabilities via tools, pipelines, and APIs, balancing speed with robustness, operating and optimizing production ML systems, mentoring on modern MLOps practices, shaping ML strategy, and contributing to Supercell AI maturity through knowledge sharing. Technologies include Python, Databricks, SQL, Spark, Redis, AWS, GCP; ML frameworks PyTorch, TensorFlow, and ONNX; serving with Ray, FastAPI, Triton; infrastructure with Docker, Kubernetes, Terraform, Kubeflow, GitHub Actions; monitoring with Grafana, Prometheus, MLflow; relocation support is provided for Helsinki, Finland, with the role based in the Helsinki office.