Sr. Machine Learning Scientist, OTS DataTech AI

Amazon-posted about 1 year ago
$150,400 - $260,000/Yr
Full-time • Senior
Austin, TX
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The Senior Machine Learning Scientist at OpsTech Solutions (OTS) is responsible for driving the enterprise data strategy and supporting AI/ML capabilities within the organization. This role involves building foundational GenAI components, maintaining an MLOps platform, and integrating scientific products with existing systems to enhance operational efficiency. The position requires collaboration with cross-functional teams to promote the adoption of AI/ML solutions and contribute to the development of a data infrastructure that supports the DataMesh framework.

  • Build and maintain an MLOps Platform that supports end-to-end AI/ML operations.
  • Shape the vision and roadmap for AI/ML across the organization, leading their research and development from concept to deployment from an engineering perspective.
  • Guide teams to adopt software engineering best practices that uplift our Operational Excellence standards.
  • Promote and facilitate the adoption of AI/ML solutions across the organization.
  • Build and maintain data infrastructure that supports the DataMesh framework and enables self-service architecture.
  • PhD in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field, or Master's degree and 4+ years of industry or academic research experience.
  • 5+ years of applied research experience.
  • 5+ years of building machine learning models or developing algorithms for business application experience.
  • 5+ years of industry or academic research experience.
  • Experience programming in Java, C++, Python or related language.
  • Experience with large scale machine learning systems such as profiling and debugging and understanding of system performance and scalability.
  • Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.
  • 5+ years of experience in full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations.
  • Experience developing, building and implementing complex software systems and machine learning systems that have been successfully delivered to customers.
  • Experience developing, building, and implementing data engineering pipelines and infrastructure.
  • Experience with AWS technologies.
  • Experience with MLOps tools and frameworks (e.g., SageMaker, MLflow).
  • Background in AI/ML, including GenAI, supervised and unsupervised learning, and optimization algorithms.
  • Experience with ML frameworks (e.g., PyTorch, TensorFlow) and application development frameworks (e.g., LangChain).
  • Publications at top-tier peer-reviewed conferences or journals.
  • Medical, Dental, and Vision Coverage
  • Maternity and Parental Leave Options
  • Paid Time Off (PTO)
  • 401(k) Plan
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