7 дней назад
AI/ML Platform Engineer
147 050 - 230 850$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
AI/ML Platform Engineer (Generative AI/Python): Building internal AI/ML platform tools, self-service workbenches, backend APIs, automations, and cloud infrastructure with an accent on large language models, model deployment, and platform enablement. Focus on developing FastAPI services, integrating AWS and Azure AI capabilities, troubleshooting Terraform-managed environments, and productionizing models across SageMaker, Bedrock, Azure ML/AI Foundry, and Kubernetes.
Location: Spring, Texas, United States of America
Salary: $147,050–$230,850 USD annually, with additional bonus and/or equity opportunities for candidates in the United States.
Company
develops technology products and services and operates a centralized platform team focused on internal AI/ML innovation.
What you will do
- Build internal platform tools and services, including self-service portals, workbenches, backend APIs, automations, and CI/CD tooling.
- Develop MCP and gateway integrations along with AI-enabled automations and workflows.
- Provision and maintain cloud platform resources across AWS and Azure using Terraform.
- Diagnose deployment, networking, endpoint, and configuration issues in partnership with security and networking specialists.
- Support teams in productionizing models across SageMaker, Bedrock, Azure ML/AI Foundry, and Kubernetes.
- Lead design and architecture reviews, code reviews, onboarding, documentation, and platform improvements.
Requirements
- Four-year or graduate degree in Computer Science, Statistics, Mathematics, Data Science, or a related discipline, or equivalent demonstrated competence.
- Typically 7–10 years of experience in programming, machine learning, algorithms, statistical methods, or a related field.
- Experience with Python, software engineering, AI/ML, deep learning, natural language processing, and automation.
- Knowledge of AWS, Microsoft Azure, Terraform, Kubernetes, CI/CD, and cloud infrastructure troubleshooting.
- Ability to collaborate across business units, translate ambiguous requirements into practical plans, and review technical designs.
- Role location: Spring, Texas, United States of America.
Nice to have
- AWS Certified Machine Learning Specialty certification.
- Experience with Apache Spark, C++, Java, PyTorch, scikit-learn, and TensorFlow.
Culture & Benefits
- Builder-first role combining hands-on development with collaboration and enablement.
- Regular design, architecture, project, and code review activities.
- Health, dental, vision, disability, life insurance, and employee assistance benefits.
- Flexible spending account and flexible paid vacation and sick leave.
- Four to twelve weeks of fully paid parental leave based on tenure and 11 paid holidays.
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