Delivery Consultant

Delivery Consultant - Machine Learning (GenAI), ProServe EMEA Join to apply for the Delivery Consultant - Machine Learning (GenAI), ProServe EMEA role at Amazon Web Services (AWS). 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 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 Responsibilities Design and implement complex, scalable, and secure AWS solutions tailored to customer needs. Collaborate with stakeholders to gather requirements and propose effective migration strategies. Provide technical guidance and troubleshooting support throughout project delivery. Act as a trusted advisor to customers on industry trends and emerging technologies. Share knowledge within the organization through mentoring, training, and creating reusable artifacts. Basic Qualifications 3+ years of AI and ML experience and data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.). 3+ years of cloud architecture and implementation experience. Proven track record in designing and developing end-to-end Machine Learning and Generative AI solutions, from conception to deployment. Experience in applying best practices and evaluating alternative and complementary ML and foundational models suitable for given business contexts. Bachelor's degree in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science. Knowledge of data modeling principles, statistical analysis methodologies, and demonstrated ability to extract meaningful insights from complex, large-scale datasets. 3+ years of AI and ML experience and data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience 3+ years of cloud architecture and implementation. Proven track record in designing and developing end-to-end Machine Learning and Generative AI solutions, from conception to deployment. Experience in applying best practices and evaluating alternative and complementary ML and foundational models suitable for given business contexts. Bachelor's degree in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science. Knowledge of data modeling principles, statistical analysis methodologies, and demonstrated ability to extract meaningful insights from complex, large-scale datasets. Preferred Qualifications AWS experience preferred, with proficiency in a wide range of AWS services (e.g., Bedrock, SageMaker, EC2, S3, Lambda, IAM, VPC, CloudFormation) AWS Associate level certifications (e.g., Machine Learning Specialty, Machine Learning Engineer Associate, Solutions Architect Professional) preferred. Experience with automation and scripting (e.g., Terraform, Python). Knowledge of security and compliance standards (e.g., HIPAA, GDPR). Strong communication skills with the ability to explain technical concepts to both technical and non-technical audiences. Experience in developing and optimizing foundation models (LLMs), including fine-tuning, continuous training,and implementation of AI systems. 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 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 our accommodations page for more information. Seniority level: Not Applicable Employment type: Full-time Job function: Consulting, Information Technology, and Engineering Industries: IT Services and IT Consulting Company - AWS EMEA SARL (Switzerland Branch) #J-18808-Ljbffr