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The Hartford
The Hartford
H1B vizasi homiysiB2CMoliyaSug‘urta
The Hartford jismoniy shaxslar, oilalar hamda kichik va o‘rta bizneslarga xizmat ko‘rsatuvchi sug‘urta va moliyaviy xizmatlar kompaniyasidir. 1810-yilda tashkil etilgan kompaniya xodimlar uchun imtiyozlar va boshqa sug‘urta yechimlari bilan bir qatorda avtomobil, uy-joy va biznes sug‘urtasini ham taqdim etadi. Shuningdek, kompaniya ishtirokchi a’zolarga maxsus imtiyozlar va chegirmalardan foydalanish imkonini beruvchi AARP tomonidan ma’qullangan avtomobil va uy-joy sug‘urtasi dasturlari bilan ham tanilgan.
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Kompaniyadagi ish o‘rinlari

Senior Analyst, Model Risk and Generative AI Validation

Validate generative and agentic AI models supporting The Hartford’s insurance operations. Build testing frameworks, assess model risk, and communicate validation findings.

USAmerika Qo‘shma ShtatlariCTKonnektikut
108 000 $ – 162 000 $ / yil
MasofaviyTo‘liq stavkaSeniorTalab Qilinadigan Til: inglizchaSun’iy intellekt
AWSBulutGoogle Cloud PlatformPythonSQL

Tavsif

  • Validate generative AI and agentic AI use cases across business functions and lines of business
  • Confirm that model calculations, algorithms, and methodologies are accurate and fit for their intended purposes
  • Develop challenger solutions and testing methods for summarization, question answering, search, data synthesis, LLM-as-a-judge, and related applications
  • Evaluate quantitative and qualitative techniques for measuring model accuracy, robustness, and reliability
  • Review data inputs, assumptions, prompt engineering, and context engineering practices
  • Create and run tests for non-deterministic AI systems using variability analysis, confidence intervals, and statistical evaluation methods
  • Challenge model inputs, calculations, outputs, conceptual soundness, monitoring, controls, and documentation
  • Document findings and recommendations, analyze their impact, and prepare model validation reports
  • Handle governance responsibilities involving findings tracking, remediation testing, and validation activities
  • Advance the generative AI validation framework through standardized metrics and validation tools
  • Collaborate with Data Science teams to align model risk practices with evolving modeling capabilities and support proactive risk management
  • Monitor developments in AI/ML, generative AI, agentic systems, regulatory expectations, and department initiatives
  • Help evaluate and test tools including Vertex AI/Google ADK, LangChain/LangGraph, RAG frameworks, Hugging Face, and OpenAI APIs
  • Evaluate solutions against AI Governance standards, Model Risk Management policies, and emerging regulatory expectations

Talablar

  • Advanced degree, such as an M.S. or Ph.D., in Artificial Intelligence, Machine Learning, Computational Science, Engineering, Statistics, Applied Mathematics, Actuarial Science, Computer Science, Quantitative Economics, or a related field
  • At least 3 years of industry experience in machine learning or data science, including at least 1 year focused on generative AI or agentic AI
  • Experience with P&C, Group, Life, or related insurance products is a plus
  • Strong programming and technology skills with Python, SQL, and Git
  • Sound knowledge of generative AI concepts, including prompt and context engineering, retrieval-augmented generation, LLM internals, LLM evaluation, and multi-agent systems
  • Experience using modern cloud and AI platforms such as GCP/Vertex AI, Google uAgent Development Kit (ADK), AWS/SageMaker, LangChain/LangGraph, Hugging Face, and OpenAI APIs
  • Ability to work independently, take proactive ownership, meet deadlines, and adapt to changing priorities
  • Strong analytical, critical-thinking, and investigative abilities
  • Commitment to ongoing learning and development as modeling methods and AI technologies evolve
  • Creative, solution-focused approach with innovative thinking and a willingness to challenge established practices
  • Excellent communication and collaboration skills, including the ability to explain complex technical concepts to non-technical stakeholders

Imtiyozlar

  • Short-term or annual bonus opportunities
  • Long-term incentives
  • On-the-spot recognition
  • Perks and benefits; details were not specified

O‘xshash ish o‘rinlari

Nivoda

Senior AI/ML Engineer, Remote in the United States

Nivoda
201 – 500 Xodimlar
Chakana savdoElektron tijoratMarketpleys
USAmerika Qo‘shma ShtatlariMAMassachusetsNYNyu-YorkMasofaviyTo‘liq stavkaSeniorTalab Qilinadigan Til: inglizchaMashinaviy o‘qitish muhandisi
Elasticsearch

Develop ranking, recommendation, and multimodal search systems for Nivoda’s global jewellery marketplace and jeweller storefronts. Build production machine learning capabilities across search, product discovery, and image matching.

Ochish
CET Logistics

Business Engagement Specialist – CET Logistics

CET Logistics
201 – 500 Xodimlar
KonsaltingLogistikaSog‘liqni saqlash
USAmerika Qo‘shma ShtatlariMAMassachusetsNHNyu-HempshirRIRod-Aylend
54 600 $ – 59 500 $ / yil
MasofaviyTo‘liq stavkaO‘rta darajaSeniorTalab Qilinadigan Til: inglizchaUmumiy

Connect businesses and institutions with CET’s waste reduction and energy efficiency programs. Build referral networks, qualify leads, coordinate handoffs, and support carbon reduction efforts.

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FHI 360

Associate Director of Procurement, Administration and Logistics

FHI 360
1 001 – 5 000 Xodimlar
H1B vizasi homiysiKonsaltingOziq-ovqat va ichimliklarSog‘liqni saqlash
CDKongo – Kinshasa
120 000 $ – 143 000 $ / yil
OfisdaTo‘liq stavkaSeniorTalab Qilinadigan Til: inglizchaTalab Qilinadigan Til: fransuzchaXaridlar

Leads procurement, administration, logistics, and operations for FHI 360’s country office in the Democratic Republic of the Congo. Supervises functional leads and maintains compliance with donor, government, and supply chain requirements.

Ochish