Machine Learning Engineer, Data Platform Engineering Team, WWPS U.S Federal ProServe

1 week ago

Alexandria, United States Amazon Web Services, Inc. Full time

Job ID: 2763466 | Amazon Web Services, Inc.

Are you excited to help the US Intelligence Community leverage the volume and variety of their data and enable Machine Learning in mission workflows? Do you have a knack for helping these groups understand the data architectures that support Machine Learning Operations (MLOps) and the consultative and leadership skills to launch a project on a trajectory to success? The Amazon Web Services (AWS) US Federal Professional Services team works directly with US Intelligence community agencies and other public sector entities to achieve their mission goals through the adoption of Machine Learning (ML) methods. We build data platforms that optimize all types of data for ML model training, scale inference, automate model improvement, and organize insights for analytics and reporting. Amazon has been investing in Machine Learning for decades, and by joining AWS you will join a community of scientists and engineers developing leading edge solutions for enterprise-scale data science applications.

In this customer facing position, you will architect and implement innovative AWS cloud-native ML solutions that achieve customer business outcomes. You will take the lead in inspecting, investigating, and understanding customer data sources. You'll design and run experiments, and research new algorithms. You'll work closely with talented data scientists and engineers to create data flows to and from models, and build data platforms that infuse ML into diverse missions.

This position may require local travel up to 25%. 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.

This position requires that the candidate selected must currently possess and maintain an active TS/SCI Security Clearance with Polygraph. The position further requires the candidate to opt into a commensurate clearance for each government agency for which they perform AWS work.

Key job responsibilities
  • Ability to quickly learn cutting-edge technologies and algorithms in the fields of both Traditional and Generative AI to participate in our journey to build the best models.
  • Responsible for the development and maintenance of key platforms needed for developing, evaluating and deploying models for real-world applications.
  • Work with other team members to investigate design approaches, prototype new technology and evaluate technical feasibility.
  • Work closely with Data scientists to process massive data and scale machine learning models while optimizing.
BASIC QUALIFICATIONS
  • Bachelor's degree in computer science or equivalent
  • 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
  • Current, active US Government Security Clearance of TS/SCI with Polygraph
PREFERRED QUALIFICATIONS
  • Master's / PhD in Machine learning and its practical applications.
  • 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
  • Experience with running A/B tests in production and knowledge of causal inference and other modern machine learning techniques
  • Experienced in large scale AI and ML infrastructure and distributed training and inference for large language models

Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

Posted: November 25, 2024 (Updated about 12 hours ago)

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