Senior AIML Platform Engineer
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Monthly Salary:
Posted on:
2 hours ago
Vacancies:
1 Vacancy
Job Summary
Overview
Who we are
Collaborative. Respectful. A place to dream and do. These are just a few words that describe what life is like at Toyota. As one of the worlds most admired brands Toyota is growing and leading the future of mobility through innovative high-quality solutions designed to enhance lives and delight those we serve. Were looking for talented team members who want to Dream. Do. Grow. with us.
An important part of the Toyota family is Toyota Financial Services (TFS) the finance and insurance brand for Toyota and Lexus in North America. While TFS is a separate business entity it is an essential part of this world-changing company- delivering on Toyotas vision to move people beyond whats possible. At TFS you will help create best-in-class customer experience in an innovative collaborative environment.
To save time applying Toyota does not offer sponsorship of job applicants for employment-based visas or any other work authorization for this position at this time.
Who were looking for
Toyota Financial Services Enterprise Platforms team is seeking a highly skilled Senior AI/ML Platform Engineer to help our growing ML AI and GenAI platform infrastructure a Senior AI/ML Platform Engineer you will design build and support scalable platform capabilities that enable enterprise MLOps and LLMOps. You will work independently on features and services while partnering with product owners to understand business requirements aligning with architecture direction and collaborating with platform engineering data and cybersecurity teams to deliver secure reliable and performant environments for model training inference orchestration and retrieval-augmented generation (RAG) use cases. The ideal candidate will have demonstrated hands-on experience in cloud and platform engineering and ability to execute independently while collaborating effectively across technical and business teams.
What youll be doing
Design build and enhance cloud-native platform components for AI/ML and LLM workloads in production environments.
Implement and operate MLOps and LLMOps capabilities including model training workflows deployment pipelines monitoring and rollback support.
Build and optimize containerized and GPU-enabled runtime environments for efficient model serving and inference.
Integrate platform services such as model registries vector data stores and orchestration tooling to streamline workflows.
Develop reusable patterns for inference services prompt flow integration and performance tuning to maximize platform efficiency.
Implement secure-by-default controls including access management logging and auditability for AI platform services.
Partner with engineering data and cybersecurity teams to enhance observability resiliency and operational readiness.
Contribute to technical design reviews and establish engineering standards for AI/ML platform services.
Troubleshoot production issues perform root cause analysis and drive continuous improvements to the platform.
Stay current with evolving AI/ML platform technologies and best practices to keep Toyota at the forefront of innovation.
What you bring
Bachelors degree that provides a strong foundation in software engineering or related fields.
6 years of software engineering experience with solid expertise in cloud platforms or infrastructure engineering.
2 years of hands-on experience building or supporting infrastructure for AI/ML workloads (training and/or inference).
Proficiency with AWS services and infrastructure-as-code tools such as Terraform CDK or CloudFormation.
Hands-on experience with Kubernetes (EKS or equivalent) containers and CI/CD pipelines.
Working knowledge of scalable microservice patterns and platform reliability practices.
Familiarity with observability tools like Datadog CloudWatch or Prometheus.
Strong skills in Git/GitHub and CI/CD tools such as GitHub Actions or Jenkins.
Added bonus if you have:
Familiarity with AWS AI/ML services like SageMaker or Bedrock.
Experience with LLMOps and GenAI platform patterns such as LangChain RAG pipelines or embedding workflows.
Exposure to vector databases and model registries.
AWS Solutions Architect Associate or Machine Learning certifications.
What well bring
During your interview process well share details about our industry-leading benefits and career development opportunities designed to support your growth and well-being:
A collaborative work environment built on teamwork flexibility and respect.
Professional growth programs including tuition reimbursement to advance your career.
Team Member Vehicle Purchase Discount and Lease Vehicle Program (if applicable).
Comprehensive health care and wellness plans for you and your family.
Toyota 401(k) Savings Plan with company match plus annual retirement contributions regardless of your participation.
Paid holidays and paid time off for work-life balance.
Referral services for prenatal care adoption childcare schooling and more.
Tax-advantaged accounts including Health Savings Account (HSA) Health Care FSA and Dependent Care FSA.
Belonging at Toyota
Our success begins and ends with our people. We embrace all perspectives and value unique human experiences. Respect for all is our North Star. Toyota is proud to have 10 different Business Partnering Groups across 100 different North American chapter locations that support team members efforts to dream do and grow without questioning that they belong.
Applicants for our positions are considered without regard to race ethnicity national origin sex sexual orientation gender identity or expression age disability religion military or veteran status or any other characteristics protected by law.
Have a question need assistance with your application or do you require any special accommodations Please send an email to .
Required Experience:
Senior IC
About Company
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