Data science Pyspark and IA Generativa

Accountabilities:

• 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.

• 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.

This listing is from ats_lever. View original listing ↗