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10 дней назад

Senior AI and Data Scientist (AI)

150 000 - 185 000$
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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Описание вакансии

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TL;DR
Senior AI and Data Scientist (AI/Machine Learning): Designing and deploying production-grade AI and machine learning systems for enterprise-scale financial services challenges with an accent on big data, natural language processing, LLMs, and end-to-end MLOps. Focus on building scalable architectures, delivering real-time and low-latency inference, and translating business objectives into measurable machine learning solutions.

Location: On-site in Austin, TX; Southlake, TX; or Ann Arbor, MI

Salary: $150,000–$185,000 per year, plus bonus or incentive opportunities.

Company

hirify.global provides financial services and technology products that support investing and financial planning for millions of clients.

What you will do

  • Analyze big data and develop AI solutions that support advanced business decision-making.
  • Design and build end-to-end machine learning systems covering data ingestion, feature generation, model training, evaluation, deployment, monitoring, and value measurement.
  • Translate business objectives into production-ready data science and AI solutions across multiple lines of business.
  • Establish engineering standards for data science, including modular code, testing, version control, and production readiness.
  • Lead complex initiatives involving advanced machine learning, recommender systems, real-time inference, and low-latency systems.

Requirements

  • 8+ years of experience in data science and machine learning.
  • Master’s or PhD in a quantitative discipline such as computer engineering, statistics, mathematics, physics, chemistry, or a related field.
  • 6+ years of hands-on experience with Python and SQL for production-grade, modular, optimized code.
  • Experience delivering supervised and unsupervised machine learning models with documented evaluation, performance tracking, and value measurement.
  • Production experience with natural language processing and LLM solutions such as retrieval-augmented generation, agent workflows, or fine-tuning.
  • Strong software engineering fundamentals, including version control, CI/CD, MLOps, and multiple production deployments.

Nice to have

  • Experience in financial services or another highly regulated industry.
  • Background in statistics, forecasting, or causal inference.
  • Experience with cloud machine learning architecture, data pipelines, recommender systems, or personalization systems.
  • Mentorship experience and strong communication skills.

Culture & Benefits

  • Collaborative, technology-forward environment focused on continuous learning and problem-solving.
  • 401(k) with company match and employee stock purchase plan.
  • Health, dental, vision, parental leave, and family-building benefits.
  • Paid vacation, volunteering time, and a 28-day sabbatical after five years for eligible positions.
  • Tuition reimbursement.

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