Sr Delivery Consultant- AI​/ML, Data & Machine Learning; DML

Machine Learning Engineer

The Amazon Web Services Professional Services (Pro Serve) team is seeking a skilled Machine Learning Engineer to join our team 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? In this role, you'll work directly with customers to design, evangelize, implement, and scale AI/ML solutions that meet their technical requirements and business objectives.

You'll be a key player in driving customer success through their AI transformation journey, providing deep expertise in machine learning, generative AI, and best practices throughout the project lifecycle.

As a Machine Learning Engineer within the AWS Professional Services organization, you will be proficient in architecting complex, scalable, and secure machine learning solutions tailored to meet the specific needs of each customer. You'll help 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, and define paths to navigate technical or business challenges.

Working closely with stakeholders, you'll assess current data infrastructure, develop proof-of-concepts, and propose effective strategies for implementing AI and generative AI solutions  will design and run experiments, research new algorithms, and find new ways of optimizing risk, profitability, and customer experience.

This position requires that the candidate selected be a US Citizen and must currently possess and maintain an active TS/SCI security clearance.

- 7+ years of technical specialist, design and architecture experience- 5+ years of database (eg. SQL, No

SQL, Hadoop, Spark, Kafka, Kinesis) experience- 7+ years of consulting, design and implementation of serverless distributed solutions experience- 5+ years of machine learning, statistical modeling, data mining, and analytics techniques experience
- Current, active US Government Security Clearance of Top Secret or above

- degree in advanced technology, or AWS Professional level certification
- Knowledge of AWS services including compute, storage, networking, security, databases, machine learning, and serverless technologies
- Knowledge of security and compliance standards including HIPAA and GDPR
- Experience in performance optimization and cost management for cloud environments
- Experience communicating technical concepts to diverse audiences in pre-sales environments
- Experience in external or internal customer facing, complex and large scale project management
- Experience in defining and creating benchmarks for assessing GenAI model performance
- Experience translating complex technical solutions and data-driven insights into clear, actionable recommendations for diverse audiences, including both technical and non-technical stakeholders