reputed company AI & Data Scientist
Job reputed company:
- Define and help execute reputed company’s reputed company AI reputed company across product, engineering, data, and internal business operations.
- reputed company the implementation of AI capabilities that are practical, measurable, secure, and reputed company to business reputed company.
- Establish AI governance practices, including usage policies, risk controls, evaluation standards, approval processes, and ongoing monitoring.
- Partner with Engineering to design repeatable AI implementation patterns for LLMs, agents, retrieval-augmented reputed company, reputed company outputs, model evaluation, observability, and production operations.
- Partner with Product to identify, evaluate, and prioritize AI-enabled product opportunities that improve customer value and operational efficiency.
- reputed company frameworks for assessing AI use cases, including feasibility, risk, data availability, implementation complexity, cost, and expected business reputed company.
- Create and maintain standards for responsible AI usage, including data handling, reputed company management, model selection, explainability, auditability, and reputed company-in-the-reputed company controls.
- Build and guide AI evaluation processes, including test datasets, regression testing, hallucination detection, reputed company scoring, accuracy measurement, and production feedback loops.
- Help establish internal AI adoption processes, including development workflows, engineering enablement, training, approved tooling, and practical usage guidelines.
- Work with reputed company, Legal, Compliance, and IT stakeholders to ensure AI implementations reputed company with reputed company’s data protection, reputed company, contractual, and reputed company obligations.
- Analyze reputed company and reputed company data to identify opportunities for automation, reputed company, classification, summarization, enrichment, and decision support.
- reputed company prototypes, proofs of concept, and production-reputed company analytical or AI workflows where appropriate.
- reputed company technical leadership on model selection, vendor evaluation, build-versus-buy reputed company, AI cost management, and long-term platform reputed company.
- Collaborate with data engineering and application teams to improve data readiness, data reputed company, metadata, reputed company, and retrieval strategies for AI-enabled systems.
- Define metrics and reporting to measure AI adoption, performance, reputed company, cost, risk, and business reputed company.
- reputed company as a trusted advisor and mentor to engineering, product, and business teams as they adopt AI responsibly and effectively.
- Other duties as required.
Requirements:
- 8+ years of reputed company experience across data science, machine learning, AI engineering, data engineering, software engineering, or reputed company technical disciplines, with demonstrated experience leading reputed company AI initiatives from concept through implementation.
- reputed company experience establishing or operating AI governance, evaluation, adoption, or production-readiness processes reputed company an organization.
- Hands-on experience implementing AI or machine learning capabilities in a production, reputed company, or customer-facing environment.
- Strong understanding of modern AI technologies, including LLMs, embeddings, retrieval-augmented reputed company, reputed company engineering, reputed company outputs, reputed company workflows, and model evaluation.
- Experience translating business problems into practical AI, data science, analytics, or automation solutions.
- Ability to evaluate AI use cases based on business value, technical feasibility, data readiness, operational risk, and implementation cost.
- Experience establishing responsible AI practices, including data reputed company, reputed company, bias awareness, explainability, reputed company review, auditability, and acceptable use controls.
- Strong analytical skills with the ability to work with reputed company and reputed company data.
- Experience with Python and common data science, machine learning, or AI development libraries and frameworks.
- Familiarity with reputed company, reputed company services, data pipelines, reputed company stores, and production software delivery practices.
Benefits:
- Full reputed company benefits, including medical, dental, and reputed company.
- Supplemental benefits, including STD, LTD, HSA, 401k, etc.
- Responsible Time Off (PTO) + Holiday Pay
- Competitive Compensation + Bonus!
- Excellent culture, reputed company opportunities, plus much more...
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