4 дня назад
GenAI Engineer (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
GenAI Engineer (AI): Design, implement, fine-tune, and deploy generative AI and ML solutions for real client use cases with an accent on scalable architectures, model selection, and production readiness in regulated environments. Focus on end-to-end delivery, MLOps practices, performance tradeoffs, and clear communication to stakeholders.
Location: Remote from anywhere within the US
Company
is a remote-first organization building applied AI capabilities for client delivery.
What you will do
- Design, implement, fine-tune, and deploy GenAI and ML solutions aligned to business problems.
- Translate requirements into scalable AI architectures and lead end-to-end delivery.
- Evaluate models like GPT-based LLMs, handle tuning, integration, and scaling decisions.
- Collaborate with Value Engineers, clients, and stakeholders to align solutions with goals.
- Contribute to MLOps, knowledge sharing, mentoring, and internal AI best practices.
- Stay current on GenAI trends and experiment with new techniques.
Requirements
- Bachelor’s or Master’s in Computer Science, AI, ML, or related field
- Experience delivering technical projects with cross-stakeholder collaboration
- Hands-on with generative AI (LLMs, fine-tuning, embeddings)
- Experience deploying models on cloud platforms (AWS, Azure, GCP)
- Strong communication to explain technical concepts to non-technical audiences
- Ownership, priority management in fast-paced environments
Nice to have
- MLOps, containerization, model monitoring
- AI/NLP applications beyond experimentation
- AI evaluation methods and metrics
- Ethical AI, governance, data security
- Regulated industries experience
Culture & Benefits
- Remote-first work environment
- Emphasis on ownership, delivery excellence, and continuous learning
- Collaborative teamwork with knowledge sharing and mentoring
- Client-focused mindset with emphasis on outcomes and trust-building
- Support for innovation in AI delivery methods and processes
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