Role at a glance
- Job function
-
AI & Data Machine Learning Engineering
- Salary
- Not Disclosed
- Location
- Milan
- Work arrangement
- On-site
- Employment
- Full-time
- Education
- Master's
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About the role
Original posting provided by PwC
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
About the company
PwC
Large Enterprise
PwC, or PricewaterhouseCoopers, is a global leader in professional services, providing a wide range of solutions in audit, tax, and advisory. With a commitment to delivering high-quality services, PwC helps organizations navigate complex business challenges and enhance their operational efficiency. The firm operates in over 157 countries, employing more than 284,000 professionals who leverage their diverse expertise to support clients across various industries. PwC is dedicated to fostering a culture of innovation, integrity, and collaboration, making it an attractive workplace for aspiring professionals seeking career development and growth opportunities.
PwC, or PricewaterhouseCoopers, is a global leader in professional services, providing a wide range of solutions in audit, tax, and advisory. With a commitment to delivering high-quality services, PwC helps organizations navigate complex business challenges and enhance their operational efficiency. The firm operates in over 157 countries, employing more than 284,000 professionals who leverage their diverse expertise to support clients across various industries. PwC is dedicated to fostering a culture of innovation, integrity, and collaboration, making it an attractive workplace for aspiring professionals seeking career development and growth opportunities.