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Elevance Health
Elevance Health
H1B vīzas sponsorsB2BVeselības apdrošināšanaVeselības aprūpe
Elevance Health ir veselības aprūpes un veselības apdrošināšanas uzņēmums, kas veido plašāku un ilgtermiņa pieeju cilvēku veselības atbalstam. Uzņēmuma darbība apvieno veselības pabalstus, integrētus visaptverošas veselības aprūpes pakalpojumus un digitālās veselības iespējas, lai efektīvāk sasaistītu aprūpi un apdrošināšanas segumu. Ar gandrīz 100 000 darbinieku un vairāk nekā 118 miljoniem apkalpotu cilvēku Elevance Health piedāvā amatus lielā, daudznozaru organizācijā, kas koncentrējas uz veselības rezultātu uzlabošanu, veselības aprūpes sistēmas attīstību un stiprāku kopienu atbalstīšanu.
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Vakances uzņēmumā

AI and Machine Learning Scientist – Elevance Health, Indianapolis Hybrid

Develop production-scale machine learning, generative AI, and large language model solutions for Elevance Health’s healthcare business. Build RAG, agentic AI, evaluation, and Responsible AI capabilities for enterprise applications.

USAmerikas Savienotās ValstisFLFloridaHibrīdiPilna slodzeVidējais līmenisVecākais speciālistsNepieciešamā Valoda: angļuMašīnmācīšanās inženieris
MākonisPythonPyTorchSadalītās sistēmasTensorFlow

Apraksts

  • Design, develop, and deploy AI, machine learning, and generative AI solutions for enterprise business and operational challenges
  • Build and maintain infrastructure, pipelines, and services that connect structured and unstructured data for AI applications
  • Create reusable capabilities such as RAG pipelines, vector search, semantic retrieval, prompt orchestration, and agentic workflows
  • Implement evaluation frameworks and automated tests for model quality, accuracy, bias, safety, and performance
  • Establish monitoring, observability, and governance processes that support reliable, compliant production AI systems
  • Work with engineering and product teams to integrate AI capabilities into enterprise platforms and applications
  • Advance Responsible AI through evaluation standards, audit-ready documentation, and model governance controls
  • Improve AI systems for scalability, latency, reliability, and cost efficiency
  • Support experimentation, benchmarking, and model comparison to strengthen decisions and accelerate AI innovation
  • Translate stakeholder requirements into production-ready AI capabilities and services
  • Contribute to technical standards, architecture decisions, and enterprise AI engineering practices
  • Create experimental and analytical plans for machine learning algorithms and data modeling, using strong baselines and causal analysis
  • Support responsible, scalable AI adoption across Elevance Health’s healthcare enterprise

Prasības

  • Bachelor’s degree in a highly quantitative field such as computer science, machine learning, operations research, statistics, or mathematics, or an equivalent combination of education and experience; alternatively, four or more years of relevant experience
  • Production experience building and deploying applications based on large or small language models is highly preferred
  • Experience with RAG systems, semantic search, vector databases, embeddings, and prompt engineering is highly preferred
  • Experience designing AI agents, tool-calling workflows, or agentic architectures is highly preferred
  • Experience evaluating AI systems through automated frameworks, benchmarking, and human review is highly preferred
  • Experience developing scalable AI and machine learning pipelines and services with cloud-native architectures is highly preferred
  • Experience with MLOps, including CI/CD, model deployment, monitoring, observability, drift detection, and lifecycle management, is highly preferred
  • Experience using Python and modern AI and machine learning tools such as PyTorch, TensorFlow, LangChain, LangGraph, LlamaIndex, or Hugging Face is highly preferred
  • Knowledge of Responsible AI, model governance, bias testing, explainability, and auditability is highly preferred
  • Experience integrating AI solutions with APIs, enterprise platforms, and distributed systems is preferred
  • Experience reviewing, testing, validating, and hardening AI-generated code and AI-assisted development workflows is preferred
  • Experience supporting production AI systems, resolving issues, and leading continuous improvement is preferred
  • Strong communication and collaboration skills, including the ability to influence technical and non-technical stakeholders, are preferred
  • Experience in healthcare, regulated industries, or enterprise-scale AI is preferred

Priekšrocības

  • Merit increases
  • Paid holidays
  • Paid time off
  • Incentive bonus programs
  • Medical benefits
  • Dental benefits
  • Vision benefits
  • Short-term disability benefits
  • Long-term disability benefits
  • 401(k) with company match
  • Employee stock purchase plan
  • Life insurance
  • Wellness programs
  • Financial education resources
  • Hybrid work strategy with flexibility for virtual work
  • Workplace accommodations as required by law

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