5 дней назад
Web Application Architect 4, Machine Learning (AI/ML)
230 000 - 275 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Web Application Architect 4, Machine Learning (AI/ML) (Enterprise AI/ML): Leading enterprise AI/ML strategy, architecture, governance, evaluation, and value realization across HR, Finance, Product, Sales, Marketing, and News & Content with an accent on reusable AI capabilities, cloud-based machine learning, and process transformation. Focus on architecting large-scale ML solutions, shaping broad infrastructure, guiding technical direction across teams, and delivering measurable business outcomes.
Location: Arlington, Virginia, United States — 1801 S Bell
Salary: $230,000–$275,000 per year
Company
Enterprise organization applying AI and machine learning across HR, Finance, Product, Sales, Marketing, and News & Content.
What you will do
- Lead enterprise AI/ML strategy, architecture, governance, evaluation, and value realization.
- Architect, design, and deliver technical solutions using ML algorithms, tools, models, and data structures.
- Deliver large-scale ML solutions across multiple business verticals, from conception through deployment.
- Shape broad architecture and ship large services, complex libraries, and major infrastructure components.
- Define technology roadmaps and identify strategic growth opportunities enabled by AI/ML.
- Collaborate with cross-functional teams and communicate technical solutions to non-technical stakeholders.
Requirements
- Master’s degree or PhD in a related field, or equivalent work experience.
- At least 7 years of software development experience or equivalent expertise building commercial ML applications.
- Experience delivering AI/ML-enabled process transformation for organizations of several hundred people.
- Deep expertise in AI/ML programming languages, large language models, frameworks, libraries, data structures, and data modeling.
- Experience delivering large-scale, cloud-based machine learning projects.
- Knowledge of Agile/Scrum, DevSecOps, AWS, DevOps, and cloud technologies, with strong communication and technical leadership abilities.
Culture & Benefits
- Full-time employment.
- Cross-functional work across multiple products and business areas.
- Compensation is determined based on experience, skills, education, certifications, and geographic location.
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