Senior AI/ML Consultant

Amazon
London
2 months ago
Applications closed

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The Amazon Web Services Professional Services (AWS ProServe) ASEAN organization is looking for a senior experienced and motivated business-oriented AI/ML practitioner who possesses a unique balance of business knowledge and technology depth in Machine Learning with delivery implementation experience in the cloud.

The full job description covers all associated skills, previous experience, and any qualifications that applicants are expected to have.AWS ProServe engages in a wide variety of projects for customers and partners, providing collective AWS customer experience, best practices, and technical skills for the customer. Our team collaborates across the entire AWS organization to bring access to product, service, and training teams to deliver the right solutions and drive feature innovations for our customers across all industries.This role will focus on advising customers looking to enhance their business or operational outcomes through the use of ML on AWS. In this role, you will advise on architecture best practices, lead projects, manage customer stakeholders, conduct customer workshops, and implement complex AI/ML workloads with our customers and partners.

Key Job Responsibilities

Advise customer’s technologists and business leads; help them to explore the art of the possible with machine learning, and to develop scalable ML solutions on AWS to deliver business value in the most effective way.Discuss complex industry-specific business concepts with customer technologists and business leads especially in FSI, Telco, and Retail.Drive large, complex customer engagements across pre-sales and delivery from ideation, through architecture design and scoping, all the way to closure and into delivery.Conduct workshop sessions to identify opportunities with our customers to scope how they could deliver business value through the use of machine learning.Provide technical leadership and excellence on customer engagements to ensure alignment on scope, deliverables, timeline, and customer expected outcomes.

About the Team Diverse ExperiencesAmazon 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 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 Requirements

Bachelor's Degree or equivalent experience in STEM.10+ years of experience with direct customer (internal or external) interaction with responsibilities in ML solutions design, architecture, and implementation.10+ years of experience in the industry as an ML practitioner.Advanced level command of the English language, reading, writing, and speaking.Ability to think strategically about business, solutions, and technical challenges.A minimum of 3 years working experience in the ASEAN region, and ability to travel to customer locations in ASEAN as needed for pre-sales and delivery activities.5+ years Technical experience preferred, knowledge of AI/ML Technology stack of AWS and Generative AI trends, patterns, anti-patterns.Industry experience with key vertical markets such as Financial Sector, Telecom, and Retail.AWS Experience and Certifications, including implementation of cloud-based AI/ML solutions.Ability to understand and educate customers on cloud computing technologies and workload transition challenges.Advanced degree desired (e.g., MBA, MS).

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