4 дня назад
Lead, AI Engineering (AI)
180 000 - 220 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Lead, AI Engineering (AI): Building scalable AI platforms, machine learning and generative AI solutions, and production-grade data and infrastructure systems with an accent on MLOps, LLMOps, data architecture, and enterprise governance. Focus on designing model training and inference platforms, implementing RAG pipelines and observability, and leading AI engineers through complex reliability, security, and scalability challenges.
Location: Hybrid role based in Charlotte, North Carolina, or Fremont, California; requires four days per week in the office and occasional travel.
Annual base salary: $180,000–$220,000; California base salary: $209,000–$253,000, plus eligibility for an annual performance bonus.
Company
is an automotive company developing electrified, digitally enabled pickup trucks and rugged SUVs, including all-electric and range-extender powertrains.
What you will do
- Lead the design, implementation, and evolution of scalable AI platforms and resilient infrastructure for training and inference.
- Design end-to-end AI data architectures, including feature stores, vector databases, knowledge repositories, and model-ready pipelines.
- Lead the training, fine-tuning, deployment, lifecycle management, and monitoring of machine learning and generative AI models.
- Oversee Python ETL/ELT pipelines supporting model training, inference, retrieval-augmented generation, and intelligent automation.
- Build MLOps and LLMOps frameworks with model registries, CI/CD, prompt versioning, automated retraining, observability, and alerting.
- Partner with product, engineering, cybersecurity, compliance, and business teams while mentoring AI engineers and platform teams.
Requirements
- Bachelor’s or master’s degree in computer science, artificial intelligence, information technology, engineering, or a related field, or equivalent practical experience.
- 8+ years of experience in AI/ML engineering, machine learning platforms, data engineering, or AI infrastructure, including 3+ years leading or mentoring engineering teams.
- Strong experience delivering enterprise-scale machine learning, generative AI, and LLM-based solutions in production.
- Proficiency in Python, SQL, and AI/ML frameworks such as PyTorch, TensorFlow, Scikit-learn, or LangChain.
- Experience with cloud AI services, data platforms, lakehouse architecture, vector databases, Kubernetes, Docker, GPU environments, distributed computing, and Terraform.
- Ability to work four days per week from the Charlotte or Fremont office, attend in-person meetings, and travel occasionally.
Culture & Benefits
- Opportunity to build new products and company capabilities around an iconic automotive brand.
- Medical, dental, vision, and income protection plans.
- 401(k) program with employer match and immediate vesting.
- 20 days of planned PTO, 40 hours of unplanned PTO, and 14 company or floating holidays annually.
- Up to 16 weeks of paid parental leave, plus paid bereavement, jury duty, voting, and military leave.
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