Data Management Data Management (Lombardia)

Data Management Data Management (Lombardia)

31 ott
|
Stema
|
Lombardia

31 ott

Stema

Lombardia

pAs a senior AI/ML Computational Scientist,you will design,build,and operationalize artificial intelligence and machine learning solutions for enterprise clients,combining custom models with cloud and third-party AI services to deliver production-ready outcomes. Your role spans the full solution lifecycle — assessing client needs and data,selecting and customizing models (including Deep Learning,Generative AI,and Large Language Models),designing scalable data and MLOps/LLMOps pipelines for training and production,and ensuring quality,value,and reliability of deployed systems. /ph3THE WORK /h3ulliFormulate real-world problems into practical,efficient,and scalable AI and Machine Learning solutions /li /ululliDevelop and implement machine learning algorithms,models,and computational systems; design and build scalable data pipelines to support model training and production with DevOps MLOps /li /ululliCustomize and apply Deep Learning and Gen AI models for various use cases based on the business needs,data availability,system and infrastructure requirements
- including edge device and HPC /li /ululliEngage in research and development of new AI and high-performance compute algorithms,models,and simulations along with their applications to solve complex business problems at client sites /li /ululliWork with large-scale datasets and utilize data preprocessing techniques to ensure high-quality input for training and production /li /ululliImplement and maintain efficient data storage and retrieval mechanisms for models and knowledge using appropriate tools /li /ululliJustify the value of model approaches in business problems /li /ululliCollaborate with teams from both business and technical sides,including users,use case representatives,business owners,engineers,architects,and UI designers,to achieve end-to-end project goals and integrate into production /li /ulh3EDUCATION /h3ulliBachelor's Degree or equivalent /li /ulh3BASIC (REQUIRED) QUALIFICATION /h3ulliSignificant experience as a machine learning engineer or scientist,deploying models in production at scale,including monitoring,alerting,automatic bug filing and auditing. /li /ululliSolid experience in applying theoretical foundations of computer science,including computer system architecture,system engineering,and programming /li /ululliProven experience in distributed computing systems and architecture that may include big data,high-performance compute,engineering simulations,scientific compute,grid and cloud computing,distributed networks /li /ululliExperience in building and deploying AI/ML based software to a cloud environment. /li /ulh3PREFERRED QUALIFICATION /h3ulliProficiency in Python and python-based AI/ML framework and familiarity with relevant libraries and frameworks (e.g.,TensorFlow,PyTorch). /li /ululliExperience working with language models like LLM's APIs and optimizing their usage for specific applications. /li /ululliExperience with the following programming languages: Python,C++,Java,R,SQL /li /ululliStrong written verbal communication skills and ability to communicate complex technical concepts to non-technical stakeholders /li /ululliStrong client-facing skillsets in a consulting environment /li /ululliStrong cross-functional skills with the ability to collaborate with a variety of internal and client-side teams /li /ululliEntrepreneurial mindset with a curiosity and passion for emergent tech and driving innovation /li /ululliMS or PhD in related field preferred (computer science,engineering,etc.) /li /ulpCompensation at Accenture varies depending on a wide array of factors including but not limited to role,level,seniority,responsibility,skillset,and level of experience. ppThe gross annual salary range is between 67,400 and 95,200. /ph3Locations /h3pMilano /ph3Informazioni aggiuntive /h3pbAccenture garantisce le pari possibilità /b /ppTutte le decisioni relative all’impiego vengono prese senza alcuna discriminazione basata su età,razza,credo,colore,religione,sesso,origine nazionale,ascendenza,disabilità,status di veterano,orientamento sessuale,identità o espressione di genere,informazioni genetiche,stato civile,cittadinanza o qualsiasi altra caratteristica tutelata dalla normativa vigente. /ppTi invitiamo a consultare il Recruiting and Hiring Statement di Accenture per maggiori informazioni sul trattamento dei tuoi dati personali durante il processo di recruiting e assunzione. /ph3Conosci Accenture /h3pWe work with one shared purpose: to deliver on the promise of technology and human ingenuity. Together,we drive positive change and deliver value to our clients,partners,shareholders,communities,and each other. /ppWe believe that delivering value requires innovation,and innovation thrives in an inclusive and diverse environment. ppAt Accenture,we see well-being holistically,supporting our people’s physical,mental,and financial health. We also provide opportunities to keep skills relevant through certifications,learning,and diverse work experi

📌 Data Management Data Management (Lombardia)
🏢 Stema
📍 Lombardia

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