Databricks23 дня назад
Специалист по архитектуре решений - AI/ML
15 000–20 625 ₽в месяц · до вычета
РЫНОК
16 333 ₽медиана по профессии
Data Scientist · 215 вакансий с указанной зарплатой
5 000половина предложений: 13 167–21 846120 000
В рынке · выше 40% предложений
Central - United States; Wes…
Обязанности
- 01Architect AI/ML Workloads: Design and deploy production-level ML and AI architectures using the Databricks unified platform, including AI agents, end-to-end pipeline automation, and model training/inference optimization
- 02Lead GenAI Implementation: Act as a hands-on practitioner for enterprise Generative AI solutions, including Retrieval-Augmented Generation (RAG), tool-calling/multi-agent orchestration, guardrails, AI evaluation, and observability systems
- 03Optimize & Scale: Build and maintain scalable customer AI workloads, applying best-in-class MLOps practices across diverse industry domains
- 04Technical Pre-Sales Support: Partner with Solutions Architects during the sales cycle—guiding prospects through feature engineering, model tracking, serving, and monitoring within a single platform
- 05Influence the Product Roadmap: Translate customer feedback into actionable product insights by collaborating with Engineering and Product teams to shape the future of Databricks' AI offerings
Требования
- 015+ years of hands-on industry experience in at least one of the following domains: ML Engineering: Building and maintaining cloud infrastructure (AWS, Azure, or GCP) supporting production ML applications and drift monitoring
- 02AI Engineering: Working with LLMs and agentic systems, including vector databases, fine-tuning, AI guardrails, and frameworks like LangChain, Hugging Face, or OpenAI APIs
- 03Demonstrated ability to translate complex AI/ML concepts for both technical and non-technical audiences
- 04Strong passion for continuous learning, cross-team collaboration, and delivering tangible business value through AI
- 05Understanding of modern lakehouse architectures (Delta Lake, data modeling, BI integration) across major cloud platforms (AWS, Azure, or GCP)
- 06[Preferred] Prior experience in a pre-sales or post-sales technical consulting role
- 07Graduate degree in Computer Science, Engineering, Statistics, or a related quantitative field—or equivalent practical experience
- 08Ability to travel up to 30% as needed for customer engagements
- 09Ability to hit role-specific training and technical delivery milestones within the first 6 months
Условия
- 01Ability to travel up to 30% as needed for customer engagements
- 02Comprehensive benefits and perks
- 03Eligibility for annual performance bonus and equity