Sr. Delivery Consultant - Data Scientist, AWS ProfessionalServices Israel...

Sr. Delivery Consultant - Data Scientist, AWS
Professional Services Israel 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. Are
you looking to work at the forefront of Machine Learning and AI?
Would you be excited to apply advanced Generative AI algorithms to
solve real world problems with significant impact? The Generative
AI Innovation Center at AWS is a new strategic team that helps AWS
customers implement Generative AI solutions and realize
transformational business opportunities. This is a team of
strategists, data scientists, engineers, and solution architects
working step-by-step with customers to build bespoke solutions that
harness the power of generative AI. 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 Data Scientists capable of using GenAI and other
techniques to design, evangelize, and implement state-of-the-art
solutions for never-before-solved problems. Key job
responsibilities 1. Collaborate with ML scientists and architects
to research, design, develop, and evaluate advanced generative AI
algorithms to address real-world challenges. 2. Interact with
customers directly to understand the business problem, help and aid
them in the implementation of generative AI solutions, deliver
briefing and deep dive sessions to customers and guide customers on
adoption patterns and paths to production. 3. Create and deliver
best practice recommendations, tutorials, blog posts, sample code,
and presentations adapted to technical, business, and executive
stakeholders. 4. Provide customer and market feedback to Product
and Engineering teams to help define product direction. About the
team The team helps customers imagine and scope the use cases that
will create the greatest value for their businesses, select and
train 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. 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 flexible work hours
and arrangements are part of our 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 empowers 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. Minimum Qualifications 1. Masters
degree (or European advanced degree equivalent) in Computer
Science, or related technical, math, or scientific field. 2.
Relevant experience in building large scale machine learning or
deep learning models and solutions. 3. Experience communicating
across technical and non-technical audiences. 4. Experience in
using Python and hands-on experience building models with deep
learning frameworks like Tensorflow, Keras, PyTorch, MXNet. 5.
Fluency in written and spoken Hebrew and English. Preferred
Qualifications 1. Proven knowledge of Generative AI and hands-on
experience of building applications with large foundation models.
2. Proven knowledge of AWS platform and tools. 3. PhD degree in
Computer Science, or related technical, math, or scientific field.
4. Hands-on experience of building ML solutions on 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 here for more information. If the country/region
you’re applying in isn’t listed, please contact your Recruiting
Partner. #J-18808-Ljbffr