Dettagli offerta di lavoro
Data :
2026-02-19Disponibilità lavorativa :
Full timeContratto di lavoro :
Contratto a tempo indeterminato - in aziendaWe are looking for a Forward Deployed ML Engineer who’ll work directly with stakeholders to unlock data silos, build robust pipelines, and deploy ML models that solve critical business problems.
WHAT YOU WILL DO (Impact > Activity)
· Embed & Solve: Act as the technical lead on-site with portfolio companies. You will translate vague business pains into concrete engineering solutions.
· End-to-End Engineering: You won’t just tune hyperparameters. You will build the data ingestion pipelines (ETL/ELT), design the ontology, train the models, and deploy them into production environments.
· Rapid Deployment: Iterate fast. We value working software over comprehensive documentation. You will ship code that impacts the P&L of the client immediately.
· Operationalize AI: Turn raw, messy data into clean, actionable intelligence. Whether it's predictive maintenance, dynamic pricing, or supply chain optimization—you build the engine that runs it.
Must-Haves:
· 1-4 Years of Experience in Data Engineering, Software Engineering, or Applied Machine Learning.
· Engineering First: Strong proficiency in Python and SQL. You write clean, production-ready code, not just Jupyter Notebook scripts.
· Data Fluency: Experience with data processing frameworks (Pandas, Spark) and cloud infrastructure (AWS, Azure, or GCP).
· Communication: English is our primary language. You must be able to explain complex technical concepts to non-technical CEOs.
· Grit: You are comfortable with ambiguity. You don’t wait for a ticket to be assigned; you find the broken process and fix it.
Nice-to-Have & "The Builder" Clause:
· Palantir Experience: Hands-on experience with Palantir Foundry (Ontology, Transforms, Pipeline Builder) is a massive advantage.
· Italian Language: Fluency in Italian is a plus for local client interaction.
· Consulting OR Builder DNA:
o Ideally: Previous experience in a high-paced technical consulting environment.
o Alternative (The Hacker Path): If you lack consulting experience, you must demonstrate a "Builder Mindset". We want to see a rich GitHub profile, complex personal projects, open-source contributions, or products you built from scratch. Show us you build things that work, even without a boss telling you to.
Grafton è il brand globale che si occupa di Professional Recruitment di Gi Group Holding, la prima multinazionale italiana del lavoro e una tra le principali realtà che offrono servizi e consulenza HR a livello globale. L’offerta si intende rivolta a candidati ambosessi, nel rispetto del D.Lgs. n. 198/2006 e ss.mm.ii. e dei Decreti Legislativi n. 215 e n. 216 del 2003 sulle parità di trattamento.
I candidati sono invitati a leggere l’informativa privacy ai sensi degli artt. 13 e 14 del Reg. EU 679/2016 al seguente indirizzo https://it.grafton.com/it/privacy-candidati (Aut. Min. del 15/04/2014 Prot. N: 39/4903)
#LI-RT1
Settore industriale :
Ict - tecnologie informatiche e di comunicazioneArea professionale :
Ict - tecnologie informatiche e di comunicazioneMansione :
Business intelligence (bi) developerFiliale / Ref. :
UFFICIO ROMA / 1634837
We are looking for a Forward Deployed ML Engineer who’ll work directly with stakeholders to unlock data silos, build robust pipelines, and deploy ML models that solve critical business problems.
WHAT YOU WILL DO (Impact > Activity)
· Embed & Solve: Act as the technical lead on-site with portfolio companies. You will translate vague business pains into concrete engineering solutions.
· End-to-End Engineering: You won’t just tune hyperparameters. You will build the data ingestion pipelines (ETL/ELT), design the ontology, train the models, and deploy them into production environments.
· Rapid Deployment: Iterate fast. We value working software over comprehensive documentation. You will ship code that impacts the P&L of the client immediately.
· Operationalize AI: Turn raw, messy data into clean, actionable intelligence. Whether it's predictive maintenance, dynamic pricing, or supply chain optimization—you build the engine that runs it.
Must-Haves:
· 1-4 Years of Experience in Data Engineering, Software Engineering, or Applied Machine Learning.
· Engineering First: Strong proficiency in Python and SQL. You write clean, production-ready code, not just Jupyter Notebook scripts.
· Data Fluency: Experience with data processing frameworks (Pandas, Spark) and cloud infrastructure (AWS, Azure, or GCP).
· Communication: English is our primary language. You must be able to explain complex technical concepts to non-technical CEOs.
· Grit: You are comfortable with ambiguity. You don’t wait for a ticket to be assigned; you find the broken process and fix it.
Nice-to-Have & "The Builder" Clause:
· Palantir Experience: Hands-on experience with Palantir Foundry (Ontology, Transforms, Pipeline Builder) is a massive advantage.
· Italian Language: Fluency in Italian is a plus for local client interaction.
· Consulting OR Builder DNA:
o Ideally: Previous experience in a high-paced technical consulting environment.
o Alternative (The Hacker Path): If you lack consulting experience, you must demonstrate a "Builder Mindset". We want to see a rich GitHub profile, complex personal projects, open-source contributions, or products you built from scratch. Show us you build things that work, even without a boss telling you to.
Grafton è il brand globale che si occupa di Professional Recruitment di Gi Group Holding, la prima multinazionale italiana del lavoro e una tra le principali realtà che offrono servizi e consulenza HR a livello globale. L’offerta si intende rivolta a candidati ambosessi, nel rispetto del D.Lgs. n. 198/2006 e ss.mm.ii. e dei Decreti Legislativi n. 215 e n. 216 del 2003 sulle parità di trattamento.
I candidati sono invitati a leggere l’informativa privacy ai sensi degli artt. 13 e 14 del Reg. EU 679/2016 al seguente indirizzo https://it.grafton.com/it/privacy-candidati (Aut. Min. del 15/04/2014 Prot. N: 39/4903)
#LI-RT1