Immediate Start! Sr. Delivery Consultant - Data Scientist,AWS Professional Services Israel...

Sr. Delivery Consultant - Data Scientist, AWS
Professional Services Israel Job ID: 2920469 | AWS EMEA SARL
(Israel Branch) 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 * Collaborate with ML scientist and architects to
Research, design, develop, and evaluate advanced generative AI
algorithms 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, 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
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 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. BASIC QUALIFICATIONS - Masters degree
(or European advanced degree equivalent) in Computer Science, or
related technical, math, or scientific field - Relevant experience
in building large scale machine learning or deep learning models
and solutions - Experience communicating across technical and
non-technical audiences - Experience in using Python and hands on
experience building models with deep learning frameworks like
Tensorflow, Keras, PyTorch, MXNet - Fluency in written and spoken
Hebrew and English PREFERRED QUALIFICATIONS - Proven knowledge of
Generative AI and hands-on experience of building applications with
large foundation models - Proven knowledge of AWS platform and
tools - PhD degree in Computer Science, or related technical, math,
or scientific field - 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
https://amazon.jobs/content/en/how-we-hire/accommodationsfor 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. #J-18808-Ljbffr