The Boeing Company is looking for a Senior Machine Learning Architect to lead, design, and implement scalable machine learning systems and architectures that empower the organization to make informed, data-driven decisions and address specific business challenges.
Requirements
- 5+ years of experience with AI/ML technologies, frameworks, models and ensembles
- 5+ years of experience with Pytorch, SciKit Learn, Tensorflow, or similar backend frameworks
- 5+ years of experience with Kubernetes, Docker containers, and Ansible
- 5+ years of experience with data engineering and data pipelines for On-Prem cloud, hybrid data models and data warehouses
- 5+ years of experience with DevOps software including Gitlab, Ansible, Terraform, Jira, Azure DevOps Pipelines, GitHub, AWS CodeBuild, AWS CodePipelines, AWS CodeGuru
- 5+ years of experience with software programming/scripting (such as Python, Unix/Linux type batch scripting, FORTRAN, C / C++)
- Experience with fine-tuning and optimization approaches (LoRA / QLoRA, PEFT, parameter-efficient training), and cost/performance tradeoffs across CPU/GPU/accelerators
Responsibilities
- Define the strategy to build highly reliable and scalable ML and AI solutions that align with the organization’s business goals and objectives
- Lead the creation and implementation of scalable, robust, and high-performance ML architectures including MLOps, AIOps leveraging cloud native services (AWS, Azure, GCP) and open-source frameworks
- Design, build, and optimize machine learning models, ensuring accuracy, efficiency, and scalability
- Collaborate with data engineers, data scientists, software developers, and DevOps teams to integrate ML models into production systems
- Assess and recommend ML tools, frameworks, and platforms to deliver business value and foster innovation
- Monitor and optimize ML models and systems for latency, throughput, and cost-efficiency in production
- Provide technical guidance to ML engineers and data scientists including documenting standards and best practices
Other
- Bachelor’s degree or higher
- Ensure ML systems adhere to ethical guidelines, data privacy regulations, and industry standards
- Lead organizational change for the adoption of new platforms, machine learning tools and analytics workflows
- Own all communication and collaboration channels pertaining to strategy and assigned projects, including regular stakeholder, senior leadership and cross-team updates
- Establish working relationships with vendors (Technology and Consulting), partners and cross teams and holding them accountable
