Senior Automation Engineer , Dsa6 Rme

Amazon; Calderara di Reno; In loco; EUR 50.000 - 70.000; Tempo pieno

Descrizione del lavoro

A leading consulting firm is seeking a Senior AI Engineer to join their Advanced Analytics Global area. This role requires a strong background in Data Science, with responsibilities including statistical analysis and integration of AI technologies. Ideal candidates will have a PhD or Master’s degree and extensive experience in AI/GenAI trends. Competitive compensation and opportunities for professional development are offered.

Servizi

Language & e-learning courses

Staff discount of up to 30%

Access to LinkedIn Learning

Competenze

• 3+ years of experience in Data Science/AI fields.
• Excellent understanding of statistics and machine learning fundamentals.
• Knowledge of embedding models and evaluation methods.

Mansioni

• Join the Advanced Analytics Global team focusing on Data Science and AI.
• Contribute to projects involving statistical analysis and AI systems.
• Work with major cloud providers and integrate vector databases.

Conoscenze

Problem-solving

Teamwork

Knowledge of AI/GenAI trends

Formazione

PhD or Master’s Degree in relevant field

Strumenti

Python

ML/DL libraries

Cloud Services (AWS, GCP, Azure)

Descrizione del lavoro

Senior AI Engineer – CRIF – Advanced Analytics Global

CRIF, a prestigious and innovative international group specialising in informational solutions, decision models, outsourcing, software, and consulting services to support banks, financial companies, insurance companies, utilities, and telecommunications companies, is seeking a Senior AI Engineer. The successful candidate will join our “Advanced Analytics Global” area, the centre of excellence at CRIF that combines expertise in Data Science, Data Engineering, and Generative AI.

Profile

• PhD or Master’s Degree in statistics, applied mathematics, computer science, quantitative economics, econometrics or a similar quantitative field.
• 3+ years of experience in Data Science / AI fields.
• Strong problem‑solving skills and teamwork capabilities.
• Knowledge of major trends and technologies in AI/GenAI.

Hard Skills

• Excellent knowledge of Python and ML/DL libraries.
• Deep understanding of the fundamentals of statistics and machine learning (sampling theory, inference and interpretation, model validation, regression and classification techniques, etc.).
• Deep understanding of LLM post‑training stages (e.g. SFT, RL, distillation) and evaluation methods.
• Deep understanding of embedding models (e.g. bi‑encoder/cross‑encoder) and their finetuning.
• Experience with agent protocols (e.g. MCP, A2A, ACP) and agentic design patterns.
• Experience with synthetic data generation approaches for the evaluation of AI Systems.
• 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 MLOps and microservices architectures.

Nice to have

• Knowledge of AI security and safety risks, and effective mitigation strategies.
• Experience with one of the major agent frameworks (e.g., AutoGen, CrewAI, smolagents, .)
• Contributions in Open Source projects related to AI.
• Research and publications in the AI field.

Location

Bologna or Milan.

Senior DevOps Engineer – Prometeia

Prometeia offers you opportunities for growth and training in a Group with over 1000 professionals working for more than 500 clients in 20 countries around the world. Among the European leaders in Wealth Management solutions, Prometeia is looking for an experienced Senior Cloud Engineer to lead the development, deployment, and management of Kubernetes‑based applications.

ROLE

As Senior DevOps Engineer will be responsible for CI/CD pipelines, with high focus on quality, security, and build/deployment processes (build tools, Docker, Kubernetes), plus optional Cloud/IaC expertise.

RESPONSIBILITIES

• CI/CD & Automation – Top Priority: Design, build, and maintain CI/CD pipelines using GitHub Actions and Azure DevOps; automate build, test, quality, and security checks; manage artifact creation and distribution (Nexus, npm, NuGet); ensure pipeline scalability, reliability, and security.
• Quality, Build & Security – High Priority: Integrate SonarQube, Checkmarx, OWASP into pipelines; apply DevSecOps practices across build and release processes; build and maintain Docker images via Dockerfiles, manage CVEs, and ensure regular rebuilds for security compliance; deploy applications via Helm Charts on Kubernetes; troubleshoot Kubernetes deployments and workloads; support Dev and Ops teams in container orchestration.
• Monitoring & Reliability: Implement Prometheus, Grafana, ELK/EFK for observability and alerting; monitor applications and infrastructure health; mentor junior engineers and promote DevOps best practices; collaborate with Development, QA, Security, and Ops teams; drive continuous improvement in delivery workflows.

QUALIFICATIONS REQUIRED

• Bachelor’s or Master’s degree in Computer Science, Engineering, or equivalent experience.
• 3+ years in DevOps, CI/CD, or Cloud Engineering roles.
• Experience with Git, GitHub, GitFlow version control.
• Hands‑on experience with build tools, Docker (including CVE management & rebuild), Kubernetes deployments.
• Familiarity with quality & security tools (SonarQube, Checkmarx, OWASP).

Preferred / Nice‑to‑Have

• Production‑level coding in Python or C#.
• Relevant certifications (ISTQB, DevOps‑related).

SOFT SKILLS

• Problem‑solving mindset and proactive approach.
• Strong teamwork and cross‑functional collaboration.
• Clear communication and technical documentation skills.
• Focus on quality, security, and continuous improvement.
• Adaptability to emerging technologies.
• Good knowledge of the English language.

LOCATION

Bologna.

Senior Hardware Designer – LuxExperience

LuxExperience is a premier digital, multi‑brand luxury group and the ultimate online shopping destination for global luxury enthusiasts. With a portfolio that includes renowned brands such as Mytheresa, NET‑A‑PORTER, and MR PORTER, LuxExperience offers carefully curated luxury products across women’s wear, men’s wear, kids’ wear, fine jewelry, watches, and lifestyle categories. Additionally YOOX and THE OUTNET are key players in the off‑season luxury shopping segment.

WHAT YOU WILL DO

• Design, develop, and maintain ETL/ELT pipelines using Databricks (Python, SQL, PySpark).
• Manage data ingestion and transformation from multiple sources within the AWS ecosystem (S3, Glue, Lambda, etc.).
• Build and maintain Tabular Cubes (SSAS/ Power BI datasets) to support efficient data modeling and analysis.
• Collaborate with Product Owners and analysts to translate business requirements into scalable data models and dashboards.
• Contribute to version control and collaborative development using Bitbucket (Git).
• Monitor and optimise data workflows, ensuring reliability, scalability, and compliance with BI best practices.
• Support end‑to‑end delivery — from data extraction to visualisation — within an Agile environment (2‑week sprints, sprint planning, iterations, and reviews).

WHO YOU ARE

• Degree in Computer Science, Engineering, or related field.
• Proven experience as a Data Engineer or BI Developer in cloud‑based data environments.
• Strong hands‑on experience with Databricks, SQL, Python, and PySpark.
• Experience with AWS data services (S3, Glue, Athena, Lambda).
• Proficiency in data modelling, (DAX, performance tuning).
• Experience building Tabular Cubes (Analysis Services or Power BI semantic models).
• Familiarity with Git/Bitbucket for version control and CI/CD integration.
• Strong analytical and problem‑solving mindset, with attention to detail.
• Excellent communication and teamwork skills, with fluency in English.

WHAT WE OFFER

• Up to 37 days of holiday (including ROL and festività abolite), depending on the length of service, starting with 33 days.
• Language & e‑learning courses.
• Staff discount of up to 30%.
• Ticket restaurant.
• Access to LinkedIn Learning.
• Discounted membership for selected sports platforms & gyms.
• Individual support on mental health & well‑being.

EQUITY OF EQUALITY

We promote and respect equal opportunities and consider differences as a value. Diversity & Inclusion are fundamental values: from the selection phase to everyday life, also through dedicated training moments to develop individual sensitivities and unicities.