Senior Delivery Consultant - Machine Learning (GenAI), ProServe EMEA, AWS Professional Services

Amazon Jobs; Madrid; Presencial; EUR 60.000 - 80.000; Jornada completa

Descripción de la vacante

A leading cloud services provider in Madrid seeks an experienced AI/ML Consultant to lead complex engagements and implement advanced solutions. The ideal candidate will have a Master's degree in a quantitative field and strong experience in building machine learning models. This role focuses on utilizing AWS services to deliver impactful AI solutions while fostering teamwork and innovation.

Servicios

Mentorship and career growth opportunities

Inclusive team culture

Work-life balance initiatives

Formación

• Strong experience in data and machine learning engineering.
• Experience in using Python and deep learning frameworks.
• Strong experience in building large scale machine learning or deep learning models.

Responsabilidades

• Lead end-to-end delivery of complex AI/ML engagements.
• Architect and implement advanced solutions leveraging AWS's AI/ML services.
• Provide technical leadership and mentorship to junior consultants.

Conocimientos

Building large scale machine learning models

Generative AI model development

Data engineering

Communicating across technical audiences

Facilitating discussions with leadership

Agile methodologies

Educación

Master's degree in a quantitative field

Herramientas

Python

Tensorflow

Keras

PyTorch

MXNet

AWS services (EC2, ELB, RDS, Route53, S3)

Descripción del empleo

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.

This role will be based in our AWS offices in Madrid, when not at the Customer site.

Key job responsibilities

1. Lead end-to-end delivery of complex AI/ML engagements, from strategic planning through to pre-production deployment and optimization
2. Architect and implement advanced solutions leveraging AWS's AI/ML services, with particular focus on Generative AI using Amazon Bedrock and SageMaker
3. Provide technical leadership and mentorship to junior consultants while driving best practices across delivery teams
4. Partner with customers to translate business challenges into measurable ML outcomes and clear delivery roadmaps
5. Drive innovation in applied AI/ML, contributing to methodologies and reusable solutions across the practice
6. Influence customer AI strategy through technical expertise and industry insights
7. Lead multi-disciplinary teams and coordinate across stakeholder groups to deliver high-impact AI solutions
8. Provide thought leadership in internal and external engagements
9. Support pre-sales activities to provide technical expertise and review project scoping and risks

Qualifications

• Strong experience in building large scale machine learning or deep learning models and in Generative AI model development
• Experience in data and machine learning engineering and cloud native technologies
• Strong experience communicating across technical and non-technical audiences
• Strong experience facilitating discussions with senior leadership regarding technical / architectural trade-offs, best practices, and risk mitigation
• Master's degree in a quantitative field such as statistics, mathematics, data science, engineering, or computer science
• Knowledge of the primary AWS services (ec2, elb, rds, route53 & s3)
• Experience with software development life cycle (sdlc) and agile/iterative methodologies
• Experience in using Python and hands on experience building models with deep learning frameworks like Tensorflow, Keras, PyTorch, MXNet

About the team

Diverse Experiences: AWS 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 & 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.

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.