Machine Learning Engineer

RequirementsWhat do you need to succeed in this position?Master's degree in IT and minimum 15 years of relevant experience (or Bachelor's in IT and minimum 19 years of experience).One of the following: University degree in NLP (computer science or computational linguistics), Specialisation in (statistical/neural) machine translation (MT), or University degree in IT / Computer Science / Engineering with specialisation in AI, ML operations or data engineering.Strong experience managing on-prem and/or cloud-based MLOps infrastructure.Hands-on experience with containerisation and orchestration tools (e.g. Kubernetes, Docker, Podman, EKS, PKS).Proficient in MLflow, TensorFlow (TFX), and Airflow.Solid experience with AWS and/or Azure.Proficient in Python, Unix, and Bash scripting.Experienced in handling large-scale, unstructured data and data lakes.Familiar with monitoring/logging tools (e.g. ELK, Prometheus, Grafana, OpenTelemetry, CloudWatch).Skilled in model testing and validation in production environments.Good understanding of Agile development methodologies.Experienced with Infrastructure as Code (Terraform, CloudFormation).Knowledge of messaging platforms (Kafka, Redis, RabbitMQ).Understanding of data security (encryption, ML security a plus).Familiar with NoSQL databases (e.g. Elasticsearch, MongoDB, Cassandra, HBase).Experience with query languages (SQL, Hive, Pig) and information extraction.Excellent English (C-level, written and spoken).