AI Engineer, AWS Gen AI Innovation Center

Amazon; Asti; In loco; EUR 55.000 - 75.000; Tempo pieno

Descrizione del lavoro

A leading cloud service provider in Piemonte, Italy, is looking for an AI Engineer to join their Generative AI Innovation Center. Your role will involve collaborating with customers to develop AI solutions, conducting experiments, and delivering best practices. Ideal candidates should have experience in machine learning, cloud solutions, and Python programming. Join a dynamic team committed to innovating in the field of AI and cloud technology while enjoying a supportive work culture.

Servizi

Mentorship and career growth opportunities

Flexible work-life balance

Inclusive team culture

Competenze

• 3+ years of experience in cloud solutions in production environment.
• 2+ years of experience deploying ML solutions for training and inference.
• Experience in technical client engagement.
• Ability to communicate effectively in English.

Mansioni

• Collaborate with AI/ML scientists to evaluate generative AI solutions.
• Interact with customers to aid implementation of generative AI.
• Create best practice recommendations and tutorials.

Conoscenze

Machine Learning

Generative AI

Python

Cloud Solutions

Technical Client Engagement

Formazione

Bachelor of Science in Computer Science or equivalent

Strumenti

Amazon Bedrock

Amazon SageMaker

Descrizione del lavoro

Overview

AI Engineer, AWS Gen AI Innovation Center Are you looking to work at the forefront of Machine Learning and AI? Would you be excited to apply Generative AI algorithms to solve real world problems with significant impact? The Generative AI Innovation Center helps AWS customers implement Generative AI solutions and realize transformational business opportunities. This is a team of strategists, scientists, engineers, and architects working step-by-step with customers to build bespoke solutions that harness the power of generative AI. The team helps customers imagine and scope the use cases that will create the greatest value for their businesses, 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. You will work directly with customers and innovate in a fast-paced organization that contributes to game-changing projects and technologies. You will design and run experiments, research new algorithms, and find new ways of optimizing risk, profitability, and customer experience. We’re looking for top architects, system and software engineers capable of using ML, Generative AI and other techniques to design, evangelize, implement and fine tune state-of-the-art solutions for never-before-solved problems.

Key responsibilities

• Collaborate with AI/ML scientists and architects to research, design, develop, and evaluate generative AI solutions to address real-world challenges
• Interact with customers directly to understand their business problems, aid them in implementation of generative AI solutions, brief customers and guide them on adoption patterns and paths to production
• Create and deliver best practice recommendations, tutorials, blog posts, sample code, and presentations adapted to technical, business, and executive stakeholder
• Provide customer and market feedback to product and engineering teams to help define product direction

About the team

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.

Why AWS

Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.

Inclusive Team Culture

Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.

Mentorship and Career Growth

We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. 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.

Work/Life Balance

We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.

Basic Qualifications

• Bachelor of Science degree in Computer Science, or related technical, math, or scientific field (or equivalent experience)
• 3+ years of experience in designing, building, and/or operating cloud solutions in a production environment
• 2+ year experience hosting and deploying ML solutions (e.g., for training, fine tuning, and inference)
• 2+ years of hands on experience with Python to build, train, and evaluate models
• 2+ years of technical client engagement experience
• Ability to communicate in a business setting in English

Preferred Qualifications

• Masters or PhD degree in computer science, or related technical, math, or scientific field
• Strong working knowledge of deep learning, machine learning, generative AI, and statistics
• Experience building generative AI applications on AWS using services such as Amazon Bedrock and Amazon SageMaker
• Experience communicating across technical and non-technical audiences, including executive level stakeholders or clients
• Experience building cloud solutions with AWS

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.