Senior Delivery Consultant - Machine Learning (GenAI), ProServe EMEA, ProServe EMEA
Senior Delivery Consultant - Machine Learning (GenAI), ProServe EMEA, ProServe EMEA
Senior Delivery Consultant - Machine Learning (GenAI), ProServe EMEA, ProServe EMEA
Senior Delivery Consultant - Machine Learning (GenAI), ProServe EMEA, ProServe EMEA
Amazon
Internet, Onlinemedien
Zürich
- Art der Anstellung: Vollzeit
- Vor Ort
- Zu den Ersten gehören
Senior Delivery Consultant - Machine Learning (GenAI), ProServe EMEA, ProServe EMEA
Über diesen Job
Senior Delivery Consultant - Machine Learning (GenAI), ProServe EMEA, ProServe EMEA
Stellen-ID: 3059727 | AWS EMEA SARL (Switzerland Branch)
BESCHREIBUNG
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 AWS Industries Team at AWS helps AWS customers implement Generative AI solutions and realize transformational business opportunities for AWS customers in the most strategic industry verticals. This is a team of data 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, select and train and fine tune the right models, define paths to navigate technical or business challenges, develop proof-of-concepts, and build applications to launch these solutions at scale. The AWS Industries team provides guidance and implements 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.
In this role you will be capable of using GenAI and other techniques to design, evangelize, and implement and scale solutions for never-before-solved problems.
Key job responsibilities
Collaborate with AI/ML scientists, engineers, and architects to research, design, develop, and evaluate generative AI algorithms and build ML systems to address real-world challenges
Interact with customers directly to understand the business problem, help and aid them in implementation of generative AI solutions, deliver briefing and deep dive sessions to customers and guide customer on adoption patterns and paths to production
Create and deliver best practice recommendations, tutorials, blog posts, publications, sample code, and presentations adapted to technical, business, and executive stakeholder
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.
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.
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.
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.
GRUNDQUALIFIKATIONEN
Bachelor's degree, or experience in a professional field or military
Experience as technical specialist in design and architecture
Experience in database (eg. SQL, NoSQL, Hadoop, Spark, Kafka, Kinesis)
Experience in consulting, design and implementation of serverless distributed solutions
Experience in software development with object oriented language
BEVORZUGTE QUALIFIKATIONEN
Bachelor's degree
AWS Associate level certification
Speak, write, and read fluently in Spanish
AWS experience preferred, with proficiency in a wide range of AWS services (e.g., EC2, S3, RDS, Lambda, IAM, VPC, CloudFormation, SageMaker, Bedrock, and other ML services)
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. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (https://www.amazon.jobs/en/privacy_page) to know more about how we collect, use and transfer the personal data of our candidates.
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.
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Basierend auf 4.119 BewertungenVorteile für Mitarbeitende
Flexible Arbeitszeiten
Home-Office
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Kinderbetreuung
Betriebliche Altersvorsorge
Barrierefreiheit
Gesundheitsmaßnahmen
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Training
Parkplatz
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Unternehmenskultur
Unternehmenskultur
4119 Mitarbeitende haben abgestimmt: Sie bewerten die Unternehmenskultur bei Amazon als ausgeglichen zwischen traditionell und modern.Der Branchen-Durchschnitt geht übrigens in Richtung modern