Hybrid Expert AI/NLP/ML

at TheWhiteam

• Job title: Expert AI/NLP/ML
• Job type: Full Time
• Experience level: Senior, Lead
• Salary: €500 - €520 per day
• Degree requirement: Postgraduate Degree
• Tech skills: Airflow, AWS, Azure, Cassandra, Cloud, Docker, ElasticSearch, Grafana, HBase, Kafka, Kubernetes, MongoDB, NoSQL, Prometheus, Python, RabbitMQ, Redis, SQL, Tensorflow, Terraform, Unix
• Location requirements: Hybrid, Brussels, Belgium

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