Apply on Employer Site

Boeing · 2 months ago

Senior Machine Learning Architect

USA - Long Beach, CA

Full-time

Hybrid

Senior Level

$149K/yr - $251K/yr

5+ years exp

The Boeing Company is currently seeking a Senior Machine Learning Architect to join the team in Seattle, WA. This role involves leading the design and implementation of scalable machine learning systems and architectures, collaborating with cross-functional teams to understand business requirements, and ensuring that solutions are reliable and effective for data-driven decision-making.

AerospaceIndustrial

No H1B

U.S. Citizen Only

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

Ensure ML systems adhere to ethical guidelines, data privacy regulations, and industry standards

Design and development of Generative AI and AI use cases (LLMs, RAG, Agentic, multi model AI, fine tuning. Vector databases and prompt engineering)

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

Qualification

Machine Learning ArchitectureCloud TechnologiesMLOpsAI SolutionsPytorchTensorFlowKubernetesData EngineeringDevOps ToolsGenerative AICollaborationCommunicationProblem Solving

Required

Bachelor's degree or higher

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++)

Preferred

10 or more years' related work experience or an equivalent combination of education and experience

5+ years of experience in the manufacturing or aviation domain

5+ years of experience with big data technologies and data engineering practices

Experience in multi-cloud and hybrid AI architecture

Experience with generative AI, NLP, computer vision, or reinforcement learning

Experience with CI/CD pipelines, DevOps practices and containerized deployments

Experience with fine-tuning and optimization approaches (LoRA / QLoRA, PEFT, parameter-efficient training), and cost/performance tradeoffs across CPU/GPU/accelerators

Experience with open-source ML projects or publications in relevant fields