Machine Learning Infrastructure Engineer

<p><b>What do you need to succeed in this position?</b></p> <ul> <li>Strong experience managing on-premises and/or cloud MLOps infrastructure.</li> <li>Proficient with containerization and orchestration platforms (e.g., Kubernetes, Docker, Podman, EKS, PKS).</li> <li>Experience with ML workflow tools such as MLflow, TensorFlow (TFX), or equivalents, and workflow orchestration using Airflow.</li> <li>Hands-on experience with cloud platforms (AWS and/or Azure) and infrastructure as code (Terraform, CloudFormation).</li> <li>Skilled in Python programming, Unix/Linux, and Bash scripting.</li> <li>Familiar with agile software development methodologies.</li> <li>Experience with messaging services (Kafka, Redis, RabbitMQ).</li> <li>Knowledge of data security measures, including encryption mechanisms; ML security is a plus.</li> <li>Familiarity with NoSQL database...