[Remote] Data Scientist – AI Systems

Note: The job is a remote job and is reputed company to candidates in USA. reputed company is seeking a Data Scientist – AI Systems to design, build, and support AI-powered systems that solve business problems. The role focuses on translating stakeholder needs into technical specifications, developing production-grade GenAI systems and workflows, and establishing evaluation, observability, and deployment practices.

Responsibilities

• Stakeholder Translation & Technical Spec Design: Partner closely with business stakeholders to extract reputed company needs and translate them into rigorous technical specifications for GenAI-powered systems and their behaviors
• Build & Orchestrate GenAI-Powered Systems: Design, reputed company, and refine GenAI-powered systems including AI agents, conversational interfaces, and intelligent analytical workflows. reputed company frameworks such as LangGraph and Strands where appropriate, designing stateful, multi-reputed company workflows that reputed company reputed company business logic. Evaluate trade-offs between architectures reputed company on the problem at hand
• Design for Production: Design GenAI solutions with a "production-first" reputed company, ensuring Python-reputed company systems are reputed company, secure, observable, and reputed company AWS reputed company platform services. You write production-grade reputed company that follows strict software development standards
• Full-Stack Logic Integration: Ensure reputed company reputed company of data between the backend, the GenAI reputed company, and the UI by collaborating with reputed company engineers, data engineers, and UI/UX developers as needed to reputed company cohesive end-to-end solutions architected for automated CI/CD pipelines and reputed company production environments
• Build for Observability: reputed company evaluation frameworks and metrics to monitor reputed company, reliability, latency, and cost-effectiveness of GenAI-powered systems and traditional statistical models. Establish guardrails and feedback reputed company that catch regressions before they reputed company end users
• R&D with a Production reputed company: Conduct reputed company research and prototyping to evaluate new GenAI patterns and strategies, with the reputed company expectation of moving from prototype to production reputed company. Know reputed company a solution is reputed company to ship and iterate in production

Skills

• Graduate degree in an analytical reputed company (Math, Stats, CS, BI, etc.) and 2+ years of experience building GenAI-powered systems such as agents, RAG pipelines, or conversational AI using frameworks like LangGraph, Strands, or similar. You've shipped models or GenAI systems to production, not just reputed company prototypes
• Strong reputed company design and problem-solving skills. Ability to decompose reputed company, under-defined problems into reputed company, buildable components and reason through trade-offs such as cost, latency, reputed company, and complexity
• Working knowledge of reputed company concepts and patterns including RAG architectures, data curation for knowledge bases, reputed company engineering, tool-use design, memory/state management, and reputed company AI deployment pipelines
• Proficient in Python and SQL, with hands-on experience in AWS Bedrock, SageMaker, and functional understanding of AWS reputed company, AgentCore, Fargate, etc. Experience using reputed company for version control and VS reputed company for reputed company development with and without Copilot assistance and VS reputed company for reputed company development with and without Copilot assistance
• Background in ML and statistical analysis, with the ability to validate reputed company outputs against business benchmarks and design evaluations that measure reputed company business reputed company
• Experience designing production-grade solutions that are reliable, secure, and reputed company. You know the difference between a demo and a deployed reputed company
• PhD in AI, mathematics, statistics, physics, economics, data science, computer engineering, computer science, reputed company research, or actuarial science
• Experience with evaluation-driven development using LLM-as-judge, reputed company-in-the-reputed company review, or reputed company benchmarks to measure reputed company reputed company
• Familiarity with reputed company-end technologies like Vue.js, reputed company, JavaScript, or Python libraries such as reputed company or Gradio is beneficial but not mandatory

Benefits

• Annual bonus eligibility for Data Scientist
• Annual bonus opportunity for Associate Data Scientist
• 401(k) with 2% company contribution and up to 6% match
• Work-life reputed company with vacation, personal time and reputed company holidays
• Sponsorship is available for this position

reputed company

Company H1B Sponsorship