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11 дней назад

Staff Data Scientist: Intelligent Process Automation Solutions Designer (AI)

185 500 - 251 000$
Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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TL;DR
Staff Data Scientist: Intelligent Process Automation Solutions Designer (AI) (AI/process automation): Designing and deploying intelligent automation solutions across customer service and operational ecosystems with an accent on classical machine learning, LLMs, agentic AI, and AWS-based integrations. Focus on building functional models, orchestrating business processes through APIs and microservices, and delivering secure, scalable automations with measurable business impact.

Location: San Diego, California or Mountain View, California

Base pay: $185,500–$251,000 per year in San Diego.

Company

hirify.global is a financial technology platform offering products including TurboTax, Credit Karma, QuickBooks, and Mailchimp.

What you will do

  • Design and deploy intelligent process automation solutions across Customer Success and adjacent business units.
  • Architect integrations between CRM systems, data pipelines, APIs, AI services, and AWS infrastructure.
  • Build, train, validate, and deploy classical machine learning and LLM-based models, including fine-tuning, prompt engineering, and RAG.
  • Develop agentic AI systems and LLM-based workflows for process orchestration, text understanding, and automation triggering.
  • Build Python automation frameworks, scripts, microservices, and Jenkins-based CI/CD pipelines.
  • Partner with business leaders, product managers, and data engineers to define automation opportunities, metrics, governance, and ROI.

Requirements

  • Hands-on experience building, training, and deploying functional models using classical machine learning and LLM-based approaches.
  • Strong Python programming experience.
  • Experience with process automation, process mining, data pipelines, APIs, system integrations, and cloud-native tools.
  • Expertise with fine-tuning LLMs and building agentic AI systems that interact with APIs, data, and end users.
  • Proficiency with AWS services such as Lambda, S3, API Gateway, DynamoDB, Step Functions, and CloudFormation.
  • Experience with Jenkins, microservices, MSAAS architectures, event-driven automation, data governance, and security principles.

Nice to have

  • Experience with JavaScript, Go, or similar programming languages.
  • Exposure to contact center, CRM, or customer service technologies.
  • Bachelor’s degree in Computer Science, Engineering, or a related field; an advanced degree or MBA is preferred.

Culture & Benefits

  • Competitive compensation with performance-based rewards.
  • Potential eligibility for cash bonuses, equity rewards, and benefits under applicable company plans.
  • Focus on secure, compliant, scalable automation and continuous innovation.
  • Opportunities to lead proof-of-concepts, pilot programs, and contribute to automation governance and best practices.

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