Machine Learning & Artificial Intelligence Engineer - Milano at pwc

Milan, Lombardy, Italy -

Full Time

Start Date

Immediate

Expiry Date

03 Oct, 26

Salary

32500.0

Posted On

05 Jul, 26

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Machine Learning, Artificial Intelligence, Python, PySpark, Spark, Scala, R, CI/CD/CT, Data Pipeline, Deep Learning, Natural Language Processing, Data Modeling, GCP, Azure, AWS, Palantir

Industry

Professional Services

Description

Line of Service Advisory Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Associate Job 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; Per questa opportunità è previsto un inserimento con contratto al: 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 L'offerta finale sarà definita anche in base alla valutazione delle tue competenze ed esperienze pregresse. Entrare in PwC significa anche poter contare su un ecosistema di iniziative e benefit pensati per supportare benessere, crescita e work-life integration. Il pacchetto include: 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 Science Degrees/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) English Travel Requirements Not Specified Available for Work Visa Sponsorship? No Government Clearance Required? No Job Posting End Date Are you ready to make a difference? Want to unlock new value by applying your unique perspective and talents? You can grow exponentially at PwC. Here, you can uncover hidden talents, build lifelong relationships rooted in trust and empathy and turn challenges into opportunities for innovation. We’ll help you grow your skills through challenging, meaningful work so you can go further.

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Responsibilities

Develop and optimize the software lifecycle and ML/AI models for clients in sectors like Automotive, Energy, and Financial Services. Responsibilities include designing software, managing application performance, and building data pipelines using Python and Spark.