Machine Learning & Artificial Intelligence Engineer - Milano
PwC is hiring a Machine Learning & Artificial Intelligence Engineer - Milano (Italy). It pays €28k-€33k a year and Level rates it ; you can apply on PwC.
Level's read on this job
- Builds AI ●●●● is how Level rates this role: the job is building AI systems.
- The posting mentions visa sponsorship.
- The posting mentions Python, PySpark and Spark among its tools and skills.
- Level classes it as a mid-level role.
- PwC has 3,700+ other open roles on Level.
AI in this role
Design and develop machine learning models, data pipelines, and AI operational systems for digital transformation projects.
Line of Service
AdvisoryIndustry/Sector
Not ApplicableSpecialism
Data, Analytics & AIManagement Level
AssociateJob Description & Summary
Vuoi essere al centro di prospettive di crescita uniche?Entra nella practice Technology Advisory di PwC e diventa:Machine Learning & Artificial Intelligence Engineer
YOUR PERSPECTIVE
Farai parte del nostro ML & AI Ops team, focalizzato nella gestione di sfidanti progetti di Digital Transformation per i principali players in ambito Automotive & Industrial Manufacturing, consumer Markets, Energy & Utilities , Financial Services, Telco & Media attraverso lo sviluppo, l’efficientamento e la reingegnerizzazione del ciclo di vita del software e dei modelli/algoritmi.
Le tue attività saranno:
supportare il cliente nella definizione del design del software e nelle attività di application performance management;
raccogliere i requisiti di integrazione sia dal punto di vista tecnico che funzionale interfacciandosi anche con gli altri team di PwC;
realizzare le data pipeline attraverso le principali tecnologie Python/PySpark/Spark/Scala/R e sulle principali data platform (GCP/Azure/AWS/Palantir);
presidiare e garantire i processi di CI/CD/CT e di software life cycle management;
- 3° livello CCNL Commercio (28.000€-30.000€) per candidati senza esperienza o esperienza minima
- 2° livello CCNL Commercio (31.500€-32.500€) per candidati con comprovata esperienza nel ruolo
- Buoni pasto del valore di 8€
- Assicurazione sanitaria integrativa, estendibile ai familiari
- Piano welfare dedicato
- Programmi e iniziative di wellbeing
- Convenzioni
Education (if blank, degree and/or field of study not specified)
Degrees/Field of Study required: Master Degree - Computer and Information ScienceDegrees/Field of Study preferred:Certifications (if blank, certifications not specified)
Required Skills
Optional Skills
Accepting Feedback, Accepting Feedback, Active Listening, AI Implementation, C++ Programming Language, Communication, Complex Data Analysis, Data Analysis, Data Infrastructure, Data Integration, Data Modeling, Data Pipeline, Data Quality, Deep Learning, Emotional Regulation, Empathy, GPU Programming, Inclusion, Intellectual Curiosity, Java (Programming Language), Machine Learning, Machine Learning Libraries, Named Entity Recognition, Natural Language Processing (NLP), Natural Language Toolkit (NLTK) {+ 20 more}Desired Languages (If blank, desired languages not specified)
EnglishTravel Requirements
Not SpecifiedAvailable for Work Visa Sponsorship?
NoGovernment Clearance Required?
NoJob Posting End Date
How we rate this
Machine Learning & Artificial Intelligence Engineer - Milano at PwC rates 90 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.
Builds AI. The job is building AI systems.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Questions you could be asked
- What NLP problem have you worked on, and how did you measure whether it actually worked?
- Tell me about a project where machine learning was part of your work. What did you do?
- Tell me about a project where data pipeline was part of your work. What did you do?
- Tell me about a project where ci/cd was part of your work. What did you do?
- Tell me about a project where software engineering was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: NLP, Machine learning, Data Pipeline, CI/CD, and Software Engineering. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.
Get your CV reviewed before you apply
Send your CV and the role you want next. Your review arrives by email within 3 days.
Get new data jobs (Builds AI ●●●●) by email
One email a week, each job rated for how much AI is in the work. No recruiter spam, unsubscribe in one click.
Free.
Similar roles
Data roles that build AI, at other companies.
What kind of AI work fits you?
Answer 12 practical questions in about three minutes. Get a simple profile, the work it points to, and live roles to explore next.
Find my next step