Brand & AI Operations Manager at Searchperts in Düsseldorf focusing on brand growth and efficient AI processes. Manage dual responsibilities in marketing and technology integration.
About the role
- Expert AI/NLP/ML supporting the European Commission in hybrid cloud MLOps infrastructure. Developing NLP, ML, DL, and AI applications with a focus on system performance and security.
Responsibilities
- Support the European Commission in designing and maintaining a secure and scalable hybrid cloud MLOps infrastructure
- Develop and integrate NLP, ML, DL, and AI applications
- Collaborate with data scientists and developers to deploy models
- Ensure system performance, reliability, and security
- Design CI/CD pipelines
- Orchestrate containerized environments
- Optimize ML pipelines
- Conduct security assessments
- Contribute to IT architecture for AI solutions
- Monitor models in production
- Manage metadata
- Produce technical documentation
- Provide guidance on MLOps best practices
Requirements
- Master’s Degree in IT / Computer Science / Engineering or equivalent with specialization in artificial intelligence, ML operations or data engineering, OR Advanced university degree in natural language processing (computer science or computational linguistics; OR A specialization in (statistical/neural) machine translation (MT)
- 13+ years of experience in IT
- Excellent knowledge of managing an on-prem and/or cloud MLOps infrastructure
- Excellent knowledge of containerization and orchestration platforms (e.g. Kubernetes, Docker, Podman, EKS, PKS)
- Good knowledge of MLflow, TensorFlow (TFX) or equivalents
- Good knowledge of Airflow
- Good knowledge of AWS and/or Azure
- Good knowledge of Python
- Good knowledge of Unix and Bash
- Good knowledge of agile software development methodologies
- Good knowledge of infrastructure as code (Terraform, CloudFormation)
- Good knowledge of messaging services and platforms (e.g. Kafka, Redis, RabbitMQ)
- Knowledge of data security measures
- Knowledge of NoSQL databases, such as Elasticsearch, MongoDB, Cassandra, HBase, etc.
- Knowledge of query languages, such as SQL, Hive, Pig, etc. and with information extraction
- Experience with data analytics over big datasets, non-structured databases as well as data lakes
- Experience with monitoring and logging tools (e.g. ELK stack, Prometheus, Grafana, OpenTelemetry, Cloudwatch)
- Experience with model testing and model validation in production environments
- Ability to write clear and structured technical documentation
- Excellent knowledge of on-prem or cloud solutions for data science applications
- Ability to give business and technical presentations
- Ability to cope with fast changing technologies
- Very good communication skills with technical and non-technical audiences
- Analysis and problem-solving skills
- Capability to write clear and structured technical documents
- Ability to participate in technical meetings
Benefits
- Horarios flexibles
- Tecnologías más punteras
- Modalidad de trabajo presencial, teletrabajo o mixta
- Trabajar en ubicaciones situadas por todo el mundo
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