Applied Scientist, Generative Ai Innovation Center Lazio

Applied Scientist, Generative Ai Innovation Center
Roma
Lazio, Lazio

Applied Scientist, Generative AI Innovation Center Job ID: 2658178 | AWS EMEA SARL (Italy Branch) - G99 Machine learning (ML) has been strategic to Amazon from the early years.

We are pioneers in areas such as recommendation engines, product search, eCommerce fraud detection, and large-scale optimization of fulfillment center operations.

The Generative AI team helps AWS customers accelerate the use of Generative AI to solve business and operational challenges and promote innovation in their organization.

As an applied scientist, you are proficient in designing and developing advanced ML models to solve diverse challenges and opportunities.

You will be working with terabytes of text, images, and other types of data to solve real- world problems.

You'll design and run experiments, research new algorithms, and find new ways of optimizing risk, profitability, and customer experience.

We're looking for talented scientists capable of applying ML algorithms and cutting-edge deep learning (DL) and reinforcement learning approaches to areas such as drug discovery, customer segmentation, fraud prevention, capacity planning, predictive maintenance, pricing optimization, call center analytics, player pose estimation, event detection, and virtual assistant among others.

AWS Sales, Marketing, and Global Services (SMGS) is responsible for driving revenue, adoption, and growth from the largest and fastest growing small- and mid-market accounts to enterprise-level customers including public sector.

The AWS Global Support team interacts with leading companies and believes that world-class support is critical to customer success.

AWS Support also partners with a global list of customers that are building mission-critical applications on top of AWS services.

Key job responsibilities The primary responsibilities of this role are to: • Design, develop, and evaluate innovative ML models to solve diverse challenges and opportunities across industries • Interact with customer directly to understand their business problems, and help them with defining and implementing scalable Generative AI solutions to solve them • Work closely with account teams, research scientist teams, and product engineering teams to drive model implementations and new solution About the team The team helps customers imagine and scope the use cases that will create the greatest value for their businesses, select and fine-tune the right models, define paths to navigate technical or business challenges, develop proof-of-concepts, and make plans for launching solutions at scale.

The GenAI Innovation Center team provides guidance on best practices for applying generative AI responsibly and cost efficiently.

Diverse Experiences Amazon values diverse experiences.

Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply.

If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying.

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That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.

We are open to hiring candidates to work out of one of the following locations: Rome, RM, ITA BASIC QUALIFICATIONS Several years of building models for business application experience PhD, or Master's degree and several years of CS, CE, ML or related field experience Experience in patents or publications at top-tier peer-reviewed conferences or journals Experience programming in Java, C++, Python or related language Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing Experience with neural deep learning methods and machine learning PREFERRED QUALIFICATIONS Experience in professional software development PhD degree in computer science, engineering, mathematics, operations research, or in a highly quantitative field Practical experience in solving complex problems in an applied environment Hands on experience building models with deep learning frameworks like MXNet, Tensorflow, or PyTorch Strong communication skills, with attention to detail and ability to convey rigorous mathematical concepts and considerations to non-experts Comfortable working in a fast paced, highly collaborative, dynamic work environment Scientific thinking and the ability to invent, a track record of thought leadership and contributions that have advanced the field.

Amazon is an equal opportunities employer.

We believe passionately that employing a diverse workforce is central to our success.

We make recruiting decisions based on your experience and skills.

We value your passion to discover, invent, simplify and build.

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