Data science Pyspark and IA Generativa

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Data science Pyspark and IA Generativa in Italy.

Join a cutting-edge technology environment focused on delivering innovative AI and data-driven solutions within the financial services sector. In this role, you will contribute to the development of advanced Generative AI applications and large-scale data processing systems that support strategic digital transformation initiatives. You’ll collaborate with multidisciplinary international teams in an agile and highly technical environment, helping shape scalable architectures and intelligent automation capabilities. The position offers the opportunity to work with modern AI frameworks, distributed computing technologies, and high-performance data platforms in fully remote mode. This is an ideal opportunity for professionals passionate about Generative AI, PySpark, and scalable data engineering who want to make a measurable impact on complex enterprise projects. You will play a key role in building intelligent solutions that combine innovation, performance, and real-world business value.

• Design and develop advanced Generative AI solutions using intelligent agents, large language models, and modern AI architectures.
• Build and optimize large-scale data processing pipelines using Python, PySpark, Spark, and distributed data technologies.
• Integrate AI-driven capabilities into scalable data environments while ensuring high performance, reliability, and maintainability.
• Collaborate with cross-functional technical teams to deliver innovative AI and data science solutions within agile project environments.
• Participate in architectural discussions and contribute to the evolution of data and AI platforms aligned with business objectives.
• Develop scalable and production-ready AI components with strong focus on monitoring, observability, and evaluation of AI agents.
• Implement and maintain RAG-based solutions, Guardrails, and orchestration frameworks to enhance AI system performance and reliability.
• Support continuous improvement initiatives by identifying opportunities for optimization, automation, and innovation across data and AI workflows.
• Contribute to technical documentation, best practices, and knowledge sharing within the broader engineering and data teams.

Requirements:

• Strong professional experience with Python and/or PySpark in data engineering, data science, or AI-focused projects.
• Hands-on expertise working with Apache Spark and distributed data processing environments.
• Experience designing and implementing Generative AI solutions, including AI agents, MCPs, RAG architectures, and LLM-based applications.
• Knowledge of AI evaluation methodologies, monitoring, observability, and production deployment best practices for AI systems.
• Ability to develop scalable, high-performance solutions within enterprise-grade environments.
• Familiarity with modern Generative AI frameworks, orchestration tools, and machine learning workflows.
• Experience working with cloud environments and distributed architectures is highly desirable.
• Previous exposure to banking, fintech, or financial services projects is considered an advantage.
• Strong analytical thinking, problem-solving skills, and the ability to work effectively in collaborative agile teams.
• Excellent communication skills with the ability to contribute to technical discussions and interact with multidisciplinary stakeholders.
• Continuous learning mindset and strong interest in emerging AI technologies and innovation.

Benefits:

• Permanent employment contract with competitive compensation package.
• Fully remote work environment offering flexibility and work-life balance.
• Personalized career development plan with ongoing training and professional growth opportunities.
• Opportunity to work on innovative, technically advanced AI and data science projects with international teams.
• Flexible working hours designed to support productivity and personal balance.
• Access to social benefits and employee support programs tailored to individual needs.
• Exposure to cutting-edge Generative AI technologies, modern data platforms, and enterprise-scale architectures.
• Collaborative and innovation-driven culture focused on learning, technical excellence, and continuous improvement.
• Stable long-term projects with strong technical impact and opportunities for career advancement.