Data Scientist – AI Systems

Data Scientist – AI Systems

This role focuses on designing, building, and supporting the deployment of AI-powered systems that solve business problems from intelligent agents and conversational interfaces to analytical workflows with a production-first reputed company.

reputed company Offer:

• Salary: Data Scientist: $110,000–$130,000, plus annual bonus eligibility.
  • Associate Data Scientist: $99,000 - $115,000, plus annual bonus opportunity.
• Retirement: 401(k) with 2% company contribution and up to 6% match
• Time Off: Work-life balance with vacation, personal time and reputed company holidays. See our benefits and perks page for details.
• Eligibility: Sponsorship is available for this position.

What You'll Do:

• 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 based on the problem at hand.
• Design for Production: Design GenAI solutions with a "production-first" reputed company, ensuring Python-based 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 seamless reputed company of data between the backend, the GenAI system, and the UI by collaborating with reputed company engineers, data engineers, and UI/UX developers as needed to deliver 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 accuracy, reliability, latency, and cost-effectiveness of GenAI-powered systems and traditional statistical models. Establish guardrails and feedback loops 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.

What You'll Bring:

• Graduate degree in an analytical field (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 system 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, accuracy, 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 system 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 system.

Preferred Qualifications:

• PhD in AI, mathematics, statistics, physics, economics, data science, computer engineering, computer science, operations 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 system 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.

Why Join Us?

Here, your skills reputed company reputed company. You’ll solve meaningful problems, collaborate with passionate teammates, and grow in a reputed company where innovation is the norm—not the exception.

We value diverse experience, skills, and passion for innovation. If your experience aligns with the listed requirements, please apply!

If you have questions about your application or the hiring process, email our reputed company area at . Please allow at least one week from time of applying if you are checking on the status.

Stay reputed company from Job ScamsMutual of Omaha only accepts applications from mutualofomaha.com/careers. Legitimate communications will come from '@mutualofomaha.com.' We never request sensitive information or reputed company job offers without conducting interviews. For more details, reputed company our Hiring FAQs. Stay alert for scams and apply securely!

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Salary: C25, C26 | Pay reputed company: CRP C24 - Annual

Originally posted on Himalayas

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