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Founded in 2003, InvenSense Inc., a TDK Group Company, is the world’s leading provider of MEMS sensor platforms. InvenSense’s vision of Sensing Everything™ targets the consumer electronics and industrial markets with int…
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Founded in 2003, InvenSense Inc., a TDK Group Company, is the world’s leading provider of MEMS sensor platforms. InvenSense’s vision of Sensing Everything™ targets the consumer electronics and industrial markets with int…
Skills: MEMS Sensor Technology, Failure Analysis, Statistical Data Analysis, Test Automation, Python
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$32k–$66k/yr
Full-time
bachelor degree, postgraduate degree
Posted 27d ago
~40 hrs/week
Responsibilities
Design, build, and operationalize AI/ML solutions for enterprise clients, spanning the full lifecycle from needs assessment to production deployment. Develop scalable data pipelines and customize Deep Learning and Gen AI models to solve complex business problems.
Requirements
Requires a Bachelor's degree and proven experience deploying production-scale ML models with a strong foundation in computer science and distributed systems. Proficiency in Python and AI frameworks, along with strong communication skills for client-facing consulting, is preferred.
Full job description
YOU ARE
As an 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 DevOps &MLOpspipelines for training and production, and ensuring quality, value, and reliability of deployed systems.
THE WORK
Formulate real-world problems into practical, efficient, and scalable AI and Machine Learning solutions
Develop and implement machine learning algorithms, models, and computational systems; design and build scalable data pipelines to support model training and production with DevOps &MLOps
Customize and apply Deep Learningand Gen AI models for various use cases based on the business needs, data availability,systemand infrastructure requirements - including edge device and HPC
Engage 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
Work with large-scale datasets andutilizedata preprocessing techniques to ensure high-quality input for training and production
Implement andmaintainefficient data storage and retrieval mechanisms for models and knowledge usingappropriate tools
Justify the value of model approaches in business problems
Collaborate 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
EDUCATION
• Bachelor's Degree or equivalent
BASIC (REQUIRED) QUALIFICATION
Proven experience as a machine learning engineer or scientist, deploying models in production atscale ,including monitoring, alerting, automatic bug filing and auditing.
Experience in applying theoretical foundations of computer science, including computer system architecture, system engineering, and programming
Hands-on 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
Experience in building and deploying AI/ML based software to a cloud environment.
PREFERRED QUALIFICATION
Proficiencyin Python andpython-based AI/ML framework and familiarity with relevant libraries and frameworks (e.g., TensorFlow,PyTorch)..
Experience working with language models like LLM's APIs andoptimizingtheir usage for specific applications.
Experience with the following programming languages: Python, C++, Java, R, SQL
Strong written & verbal communication skills and ability to communicate complex technical concepts to non-technical stakeholders
Strong client-facing skillsets in a consulting environment
Strong cross-functional skills with the ability to collaborate with a variety of internal and client-side teams
Entrepreneurial mindset with a curiosity and passion for emergent tech and driving innovation
MS or PhD in related field preferred (computer science, engineering, etc.)
Compensation at Accenture varies depending on a wide array of factors including but not limited to role, level, seniority, responsibility, skillset, and level of experience. For this position, the Metalmeccanico National Collective Bargaining Agreement applies, with one of the following pay grades and corresponding gross annual salary range:
B2- €32,000 - €50,500
B3- €36,000 - €65,800
About Accenture
Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities.
Crediamo che nessuno debba essere discriminato a causa delle proprie differenze. Tutte le decisioni relative all'assunzione saranno prese senza riguardo a età, razza, credo, colore della pelle, religione, sesso, origine nazionale, ascendenza, stato di disabilità, stato di veterano militare, orientamento sessuale, identità o espressione di genere, informazioni genetiche, stato civile, stato di cittadinanza o qualsiasi altra base tutelata dalla legge applicabile. La nostra ricca diversità ci rende più innovativi, più competitivi e più creativi, il che ci aiuta a servire meglio i nostri clienti e le nostre comunità.
Accenture helps the world’s leading enterprises reinvent by building their digital core and unleashing the power of AI to create value at speed for organizations across industries. Our strategy is to be the reinvention partner of choice for our clients and lead in the safe, widespread adoption of AI, and to be the most client-focused, AI-enabled, great place to work in the world. We bring together the talent of our approximately 786,000 people with proprietary assets and platforms, deep process and industry expertise, and leading ecosystem relationships to deliver end-to-end solutions and measurable outcomes at scale. Through our Reinvention Services, we offer broad expertise across Cybersecurity, Digital Core, Finance, Industry and Enterprise, Song, Supply Chain and Engineering, and Talent, with advanced capabilities in AI and Data, Industry and Process, and Technology. We serve approximately 9,000 clients and generated approximately $70 billion in FY25 revenue. Visit us at accenture.com.
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How many Engineering jobs are open in Assago, Italy right now?
There are currently 28 open engineering positions in Assago, Italy listed on Clera. New openings are added daily as companies post roles.
Which companies are hiring for Engineering roles in Assago, Italy?
Companies currently hiring include Nestlé, Accenture, Sopra Steria Group, TDK InvenSense, CCR Commercial Refrigeration Benelux, among others. Browse the listings above to see every active employer.
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