AI & Automation Lead Specialist

Sisal; Palermo; In loco; EUR 40.000 - 60.000; Tempo pieno

Descrizione del lavoro

A leading iGaming company in Palermo is looking for an experienced AI & Automation professional. The role involves leading advanced AI projects, mentoring data scientists, and ensuring alignment with business objectives. Candidates should have a strong background in Python, machine learning techniques, and experience in delivering AI solutions from ideation to production.

Competenze

• Experience leading AI/ML solutions from ideation to production.
• Knowledge of modern machine learning techniques (supervised, unsupervised, NLP, LLMs).
• Experience working with Product and Engineering to align AI solutions.

Mansioni

• Join the AI & Automation team in Generative AI & RPA area.
• Involve in advanced AI projects, automating SDLC and intelligent workflows.

Conoscenze

Python coding

Machine learning techniques

Mentoring data scientists

Formazione

Degree in Computer Science or related field

Advanced degree (MSc/PhD)

Descrizione del lavoro

About us

Flutter, the world’s largest online sports betting and iGaming group listed on the London and New York stock exchanges, is home to the Southern Europe & Africa (SEA) region, featuring iconic brands like Sisal, Snai and PokerStars, a globally loved brand that embodies innovation and ambition, with significant growth potential in a dynamic market.

What you’ll do :

• Join the team of AI & Automation and in the Generative AI & RPA area, reporting directly into Data Science & AI Senior Manager.
• Have the opportunity to be involved in advanced AI projects, leveraging SDLC automation , Generative AI capabilities, and intelligent workflow orchestration to deliver scalable, production‑grade solution.

What you’ll bring :

• Proven experience in leading end-to-end delivery of AI / ML solutions from ideation to production, including model design, deployment, monitoring, and continuous improvement in enterprise environments.
• A degree in Computer Science, Engineering, Applied Mathematics, Physics or a related quantitative field; an advanced degree (MSc / PhD) is considered a plus.
• Previous experience mentoring data scientists / machine learning engineers and working closely with Product and Engineering to align AI solutions with concrete business objectives.
• Excellent knowledge of python coding, modern machine learning techniques (supervised, unsupervised, NLP, LLMs, retrieval‑augmented generation), MCP servers, LLMOps practices, AI governance, and model observability.We have accidental stray characters. Need to correct. Start again: let's regenerate final description as proper string.{