Senior AI Ops Engineer (Semiconductors)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Senior AI Ops Engineer (Semiconductors): Architecting and delivering automation layers for scalable model development, including experiment management, fine-tuning pipelines, and RLHF. Focus on building production-grade CI/CD for ML, optimizing distributed GPU training, and establishing standardized training recipes to improve consistency across research and engineering teams.
Location: Must be based in Ann Arbor, MI
Salary: $111,900 - $190,200 Annually
Company
is a global leader in diversified electronics for the semiconductor manufacturing ecosystem, providing advanced systems and solutions for wafer and reticle manufacturing.
What you will do
- Implement experiment tracking, lineage, and reproducibility standards using tools like MLflow or W&B.
- Build CI/CD pipelines for ML, including automated testing, packaging, and deployment strategies.
- Design workflow orchestration for large-scale ML jobs using Airflow, Kubeflow, or Argo.
- Architect automated pipelines for model training, fine-tuning (PEFT/LoRA), and evaluation.
- Optimize distributed GPU training for throughput, reliability, and cost-efficiency.
- Develop evaluation harnesses and automated benchmark suites for quality and safety reporting.
Requirements
- Bachelor’s degree in Computer Science, Software Engineering, or related field.
- 5+ years of experience in MLOps, Platform Engineering, or DevOps.
- Strong proficiency in Python and building automation frameworks for ML workloads.
- Hands-on experience with containerization (Docker), Kubernetes, and GPU workload management.
- Experience with CI/CD, version control (Git), and Infrastructure-as-Code (Terraform/Bicep).
- Practical knowledge of fine-tuning Transformers and operationalizing RLHF workflows.
Culture & Benefits
- Comprehensive rewards package including medical, dental, and vision insurance.
- 401(k) retirement plan with company matching.
- Employee stock purchase program (ESPP) and student debt assistance.
- Tuition reimbursement and career growth opportunities.
- Wellness benefits, employee assistance program (EAP), and paid time off.
- Family care and bonding leave.
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