10 дней назад
Senior AI and Data Scientist (AI)
150 000 - 185 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
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
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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