Data & AI Specialist

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At Cloudera, we empower people to transform complex data into clear and actionable insights. With as much data under management as the hyperscalers, we’re the preferred data partner for the top companies in almost every industry. Powered by the relentless innovation of the open source community, Cloudera advances digital transformation for the world’s largest enterprises.

Data & AI Specialist (12 Month Contract)

Responsibilities

• Work internally with PS/SE Teams to define and frame use cases for different industries.
• Work directly with customers to implement AI solutions and use cases at scale using the Cloudera Data Platform.
• Analyse complex distributed production deployments and make recommendations to optimise performance.
• Document and present complex AI solutions to functional and technical teams.
• Work closely with Cloudera teams at all levels to ensure the success of project consulting engagements with customers and drive projects to successful completion.
• Develop and frame compelling use cases and demos for AI in different industries.
• Write and produce technical documentation, blogs and knowledge‑base articles.
• Participate in the pre‑and post‑sales process, helping sales and product teams interpret customers’ requirements.
• Ask the right questions, think analytically, and develop creative solutions for complex data challenges.
• Clearly explain technical insights to diverse audiences, including non‑technical stakeholders, and build narrative‑driven reports and presentations.
• Keep current with Cloudera ecosystem technologies.
• Perform platform installation and upgrades for advanced secured cluster configurations.
• Attend speaking engagements when needed and travel up to 50%.

Qualifications

• Bachelor’s degree in a related field of study.
• Data Science expertise and experience executing data‑driven solutions.
• Hands‑on experience with AI & Machine Learning solutions.
• Proficient in Python, R, and SQL.
• Expertise in building and evaluating algorithms, including deep neural networks (CNNs, RNNs), and understanding concepts like classification, regression, and reinforcement learning.
• Ability to clean, organize, and prepare large datasets using tools such as Pandas and dplyr.
• Familiarity with Apache Spark for processing and analysing massive datasets.
• Skills in Tableau, Power BI, and Matplotlib to communicate complex findings through compelling visuals.
• Understanding industry trends and business operations to align data insights with organisational objectives.
• Willingness to learn new technologies, adapt to evolving methods, and stay current in the rapidly changing AI and data science fields.
• Understanding of the moral and societal implications of data handling and AI deployment, including data privacy and security.
• Knowledge of the data management ecosystem, including data warehousing, ETL, and data integration.
• Fluent in Italian and English; additional languages are a plus.

EEO/VEVRAA

Location: Milan, Lombardy, Italy.