Job Title: Senior AI/MLOps Engineer
Duration: 12 months
Workload: Full time hours
Setup: Freelance (Daily rate / Limited Company / Umbrella / Sole Trader)
Location: Remote from Romania, Bulgaria, Czech Republic, Slovakia, or Spain
We are seeking a Senior AI/MLOps Engineer to lead the design and evolution of scalable ML infrastructure and production-ready AI systems.
Key Responsibilities:
- Lead the architecture and optimisation of end-to-end MLOps pipelines across cloud environments (ideally AWS)
- Drive deployment, monitoring, and scaling of ML models using Docker and Kubernetes
- Build and maintain batch and real-time inference systems leveraging streaming tools (e.g. Kafka)
- Collaborate closely with Data Scientists to productionise models using MLflow, Airflow or Dagster
- Provide technical leadership, mentoring engineers, and setting best practices
- Translate complex ML concepts into business value and influence stakeholders
- Continuously improve system reliability, performance, and scalability
Must-Have Skills:
- Strong hands-on experience with AWS, Docker, Kubernetes (cloud-native MLOps stack)
- Proven delivery of production ML systems end-to-end (build, deploy, monitor)
- Expertise with MLflow, Airflow or Dagster for pipeline orchestration
- Experience with Kafka / streaming architectures and data engineering
- Advanced Python and SQL
- Strong leadership and stakeholder communication skills
Nice-to-Have:
- Exposure to GenAI / LLM / NLP use cases
- Experience with model explainability or regulated environments
- Demonstrated impact linking ML solutions to business KPIs (e.g. A/B testing)