AufgabenPosition DescriptionAs a (Senior) MLOps Engineer, you will play a crucial role in building and maintaining the infrastructure and processes required to support machine learning operations. You will be responsible for preparing datasets, evaluating machine learning models using key performance indicators (KPIs), validating and deploying models, and ensuring their seamless integration into production systems (embedded and Cloud). Additionally, you will design and implement CI/CD pipelines for machine learning, automate ML operations, and utilize cloud-based solutions, such as AWS with Terraform, to enhance scalability and efficiency. This position requires a proactive individual with a strong foundation in MLOps practices, cloud platforms, and automation tools.In This Role, You WillPrepare and analyze datasets to support machine learning model development and trainingAssess natural language processing and computer vision models using relevant KPIs and metricsValidate models to ensure they meet performance standards and align with project requirementsDeploy machine learning models into production environments with scalability and reliabilityContinuously monitor deployed models to ensure optimal performance and address issues as they ariseDesign, develop, and maintain CI/CD pipelines to streamline ML model development and deployment workflowsAutomate repetitive and manual processes involved in machine learning operations to improve efficiencyImplement and manage MLOps solutions on AWS, leveraging Terraform for infrastructure as codeProfilSeveral years of proven experience in MLOps, including end-to-end machine learning lifecycle managementStrong programming skills in Python and C++Familiarity with MLOps tools like MLFlow, Airflow, or Kubeflow.Experience designing and managing CI/CD pipelines for machine learning projects with experience in CI/CD tools (e.g., Jenkins)Proficiency in automation tools for streamlining ML operationExperience in Natural Language Processing (NLP) and Computer Vision (CV), workflows and metricsHands-on experience in model validation, testing, and deployment to productionStrong verbal and written communication skills in EnglishWir bietenImportant notePlease be advised that a valid work permit for Germany is required for non-EU citizens. Unfortunately, applications without a valid work permit and sufficient German language skills may not be considered.LNKD1_DE