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Ai engineer – project leader (egna)

Egna
Crif
Pubblicato il 2 maggio
Descrizione

AI Engineer – Project Leader
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CRIF, a prestigious and innovative international group specializing in informational solutions, decision models, outsourcing, software, and consulting services to support banks, financial companies, insurance companies, utilities, and telecommunications companies, is seeking a AI Engineer – Project Leader.
The resource will join the Global AI Data Products team, the centre of innvoation and excellence, and will contribute to the design, development, and deployment of Artificial Intelligence and Generative AI solutions supporting core products and business processes.
The role involves close collaboration with cross-functional teams (data engineering, product, business, IT) and international stakeholders, covering the full AI solution lifecycle: from requirement definition and model development to production deployment and performance monitoring.
Profile:
PhD or Master's Degree in computer science, engineering, applied mathematics, statistics, or a similar quantitative field.
4+ years of experience in Data Science / AI Engineer / AI fields
Strong problem-solving skills and teamwork capabilities
Strong communication skills
Contribute to the continuous improvement of AI methodologies, standards, and best practices
Contribute to the development and evolution of AI Data Products (Machine Learning and Generative AI) at a global level
Support the definition of functional and technical requirements for AI solutions
Support experimentation activities, Proofs of Concept, and industrialization of AI solutions
Collaborate with data engineering and platform teams to integrate models into existing systems
Work closely with business stakeholders to translate operational needs into data-driven solutions
Hard Skills:
Strong proficiency in Python
Experience with ML/DL libraries (e.g. scikit-learn, TensorFlow, PyTorch or equivalent)
Experience with synthetic data generation approaches for the evaluation of AI Systems
Experience with prompt engineering techniques for LLMs and other generative models
Familiarity with vector databases (e.g., Pinecone, Qdrant, ...) and integration with AI systems, for example RAG
Experience working with one of the major cloud providers (AWS, GCP, Azure)
Knowledge of DEVOps / MLOps and microservices architectures xdwybme
Familiarity with instrument of version control (es. Git) and base knowledge of container software (Docker)
Ability to support integration of AI models into production pipelines
Nice to have:
Knowledge of AI security and safety risks, and effective mitigation strategies
Deep understanding of LLM post-training stages (e.g. SFT, RL, distillation) and evaluation methods
Use of notebooks and collaborative environments (e.g. Databricks or similar platforms)
Location: Bologna o Milano
Crif is committed to creating a diverse, inclusive work environment and promoting equal opportunities during the employee life cycle.
We aim to attract and retain the best people and embracing gender, age, culture, religion and disability diversity.

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