Machine Learning Engineer, Data and Machine Learning, WWPS US Federal

$118,200 - $204,300/Yr

Amazon - Annapolis Junction, MD

Full-time - Mid Level

Onsite - Annapolis Junction, MD

Sporting Goods, Hobby, Musical Instrument, Book, and Miscellaneous Retailers

About the position

Are you looking to work at the forefront of Machine Learning and AI? Would you be excited to apply cutting edge Generative AI algorithms to solve real world problems with significant impact? Amazon Web Services (AWS) Professional Services (ProServe) is looking for Machine Learning Engineers who like helping U.S. Federal agencies implement innovative cloud computing solutions and solve technical problems using state-of-the-art language models in the cloud. AWS ProServe engages in a wide variety of projects for customers and partners, providing collective experience from across the AWS customer base and are obsessed about strong success for the Customer. Our team collaborates across the entire AWS organization to bring access to product and service teams, to get the right solution delivered and drive feature innovation based upon customer needs. At AWS, we're hiring experienced Machine Learning Engineers with a background in NLP, generative AI, and document processing to help our customers understand, plan, and implement best practices around leveraging these technologies within their AWS cloud environments. Our consultants deliver proof-of-concept projects, reusable artifacts, reference architectures, and lead implementation projects to assist organizations in harnessing the power of their data and unlocking the potential of advanced NLP and AI capabilities. In this role, you will work closely with customers to deeply understand their data challenges and requirements, and design tailored solutions that best fit their use cases. You should have deep expertise in NLP/NLU, generative AI, and building data-intensive applications at scale. You should possess excellent business acumen and communication skills to collaborate effectively with stakeholders, develop key business questions, and translate requirements into actionable solutions. You will provide guidance and support to other engineers, sharing industry best practices and driving innovation in the field of data science and AI. It is expected to work from one of the above locations (or customer sites) at least 1+ days in a week. This is not a remote position. You are expected to be in the office or with customers as needed. The candidate selected must obtain and maintain a security clearance at the TS/SCI with polygraph level. Upon start, the selected candidate will be sponsored for a commensurate clearance for each government agency for which they perform AWS work.

Responsibilities

• Interact with customer directly to understand their business problems, and help them with defining and implementing scalable ML/DL solutions to solve them
• Work closely with account teams, research scientist teams, and product engineering teams to drive model implementations and new algorithms
• Develop and deploy advanced ML models to solve diverse challenges and opportunities
• Design and run experiments, research new algorithms, and find new ways of optimizing risk, profitability, and customer experience
• Apply classical ML algorithms and cutting-edge deep learning (DL) approaches to areas within the natural language processing and understanding spaces including GenAI, document processing and understanding, call center analytics, and chat experiences.

Requirements

• 3+ years of non-internship professional software development experience
• 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
• Experience programming with at least one software programming language
• 2+ years of relevant experience in developing and deploying large scale machine learning or deep learning models and/or systems into production, including batch and real-time data processing, model containerization, CI/CD pipelines, API development, model training and productionizing ML models
• Experience using Python and frameworks such as Pytorch, TensorFlow

Nice-to-haves

• Experience leading the design, development and deployment of business software at scale or recent hands-on technology infrastructure, network, compute, storage, and virtualization experience
• Graduate degree (MS or PhD) in computer science, engineering, mathematics or related technical/scientific field
• Practical experience in solving complex problems in an applied environment
• Experiences related to AWS services such as SageMaker, EMR, S3, DynamoDB and EC2
• Experiences related to machine learning, deep learning, NLP, GenAI, distributed training, model hosting, etc.

Benefits

• Flexible work hours and arrangements
• Mentorship and career growth opportunities
• Diverse and inclusive workplace culture
• Employee-led affinity groups and ongoing events for inclusion
• Access to knowledge-sharing and career-advancing resources