обновлено 7 часов назад
Senior Data Scientist (AI)
86 500 - 108 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Data Scientist (AI/Generative AI): Designing and deploying enterprise AI, generative AI, agentic AI, and advanced analytics solutions across manufacturing, quality, supply chain, engineering, R&D, and corporate functions with an accent on LLMs, RAG architectures, predictive modeling, and scalable cloud data platforms. Focus on building AI assistants and natural-language-to-SQL applications, implementing data architectures and APIs, and solving data quality, integration, and production deployment challenges.
Location: Austin, TX, United States
Salary: $86,500–$108,000 per year; final compensation depends on skills and qualifications.
Company
is a global company developing materials, solutions, and technologies for advanced manufacturing and related industrial functions.
What you will do
- Design, develop, and deploy enterprise AI solutions using LLMs, Generative AI, Agentic AI, and RAG architectures.
- Build AI assistants, intelligent agents, chatbots, copilots, and natural-language-to-SQL solutions for business workflows.
- Develop semantic search, document intelligence, knowledge management, analytical tools, automation platforms, APIs, and self-service applications.
- Apply machine learning, NLP, statistical analysis, predictive modeling, forecasting, and optimization to complex business problems.
- Design analytical data models and datasets using Snowflake, GCP, BigQuery, and enterprise data platforms.
- Partner with business and technical stakeholders to identify AI opportunities, translate requirements into solutions, and present roadmaps and business value.
Requirements
- Master’s degree in Data Science, Computer Science, Electrical Engineering, Statistics, Artificial Intelligence, Machine Learning, or a related technical field.
- 5+ years of experience developing data science, machine learning, AI, or analytics solutions.
- Strong Python and SQL development skills, with experience in REST APIs and scalable software applications.
- Hands-on experience with Generative AI, LLMs, Agentic AI, RAG architectures, and production deployment on GCP, AWS, or Azure.
- Experience with cloud data platforms such as Snowflake, BigQuery, or Databricks, plus knowledge of MLOps, LLMOps, CI/CD, and AI deployment practices.
- does not provide immigration-related sponsorship. Applicants must not require sponsorship now or in the future.
Nice to have
- Experience with multi-agent AI frameworks, autonomous workflows, FastAPI, and cloud-native application development.
- Experience with semantic search, vector databases, embeddings, and knowledge retrieval systems.
- Experience supporting manufacturing, engineering, quality, or supply chain organizations.
- Experience with Power BI, Tableau, or other modern visualization platforms.
Culture & Benefits
- Values-driven, collaborative culture emphasizing People, Accountability, Creativity, and Excellence.
- 401(k) plan with employer matching.
- Health, dental, and vision insurance.
- Flexible work schedule, 11 paid holidays, and paid time off.
- Education assistance and support for professional development.
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