
Data Team - Senior MLOps Engineer
- Malta Island
- Permanent
- Full-time
- Design, build, and maintain robust MLOps pipelines for continuous integration, deployment, and monitoring of ML models.
- Collaborate with data scientists, data engineers, and DevOps teams to implement best practices for model lifecycle management.
- Optimize model training, deployment, and inference processes for performance and cost-efficiency.
- Implement monitoring systems to track the performance and reliability of deployed models.
- Ensure compliance with security, privacy, and regulatory requirements for machine learning solutions.
- Automate workflows and manage infrastructure for large-scale machine learning projects.
- Contribute to the development of reusable frameworks and tools to accelerate machine learning adoption across the organization.
- Proven experience in MLOps, DevOps, or a similar role in a production environment.
- Proficiency in programming languages such as Python, with experience in ML frameworks like TensorFlow, PyTorch, or Scikit-learn.
- Hands-on experience with CI/CD tools (e.g., Jenkins, GitHub Actions, or CircleCI).
- Familiarity with cloud platforms like AWS, GCP, or Azure, and container orchestration tools like Kubernetes and Docker.
- Strong understanding of data engineering workflows and tools (e.g., Apache Spark, Kafka, or Airflow).
- Experience with monitoring and logging tools like Prometheus, Grafana, or ELK Stack.
- Knowledge of model versioning and reproducibility tools such as MLflow or DVC is a plus.
- Be part of an innovative and forward-thinking team driving AI adoption in a dynamic industry.
- Opportunity to work on cutting-edge technologies and contribute to impactful projects.
- A supportive and collaborative work culture that fosters growth and creativity.
- Competitive salary and benefits package, including health insurance, professional development programs, and more.
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