data and ai engineer
23 ore fa
We have a new opportunity for a Data and AI Engineer to join the Chief Protection Officer Team.
KEY RESPONSIBILITIES
- Engage in collaborative efforts with the data science team to comprehend data requirements and develop robust data models, effectively visualizing key data insights for impactful storytelling
- Enhance business processes by proficiently managing the lifecycle of data and AI models, ensuring their relevance and accuracy over time
- Architect, construct, and launch innovative data extraction, transformation, and loading processes to craft data pipelines and dashboards, utilizing advanced object-oriented programming languages and modern web frameworks
- Maintain and improve existing production processes by identifying and implementing optimized, scalable solutions
- Contribute to Research and Development initiatives to discover and integrate cutting-edge technical solutions that propel the organization forward
- Synthesize complex data findings and communicate them clearly, ensuring that both internal and external stakeholders receive understandable and actionable insights
KEY REQUIREMENTS/SKILLS/EXPERIENCE
- Master's degree in Computer Engineering, Computer Science, Data Engineering, or a closely related field, including Mathematics and Physics
- 1-2 years working experience in a Data Engineering or Data Science role
- Knowledge in SQL, ETL processes, data modeling, and programming language (e.g. Python, Julia)
- Experience with DataOps practices, contributing to the continuous improvement of data workflows
- Knowledge of Cloud Services including AWS, GCP, Azure, and their application in data engineering tasks
- Familiarity with MLOps concepts and tools like MLFlow to streamline machine learning lifecycle management
- Neural Networks, including those specialized in image analysis, would be an advantage
- Proficient understanding of both SQL and NoSQL database technologies
- Experience with containerization and orchestration technologies such as Docker and Kubernetes
- Fluency in Italian and English Excellent communication skills
- Willingness to travel internationally for business needs
- International exposure through academic or professional experiences
- Demonstrated ability to work effectively as part of a diverse, multidisciplinary team
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