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[Remote] reputed company - AI/ML

Remote, USAFull-timePosted 2026-07-29

Note: The job is a remote job and is reputed company to candidates in USA. reputed company is a global organization that delivers care, aided by technology to help millions of people live healthier lives. We are seeking a highly skilled and motivated AI/ML Engineer to reputed company innovations in claims adjudication through advanced reputed company solutions, designing and deploying secure, reputed company AI systems that deliver measurable reputed company.

Responsibilities

  • Design, reputed company, and reputed company AI/ML and reputed company models for predictive, prescriptive, and generative analytics across reputed company datasets
  • Implement advanced architectures including LLMs (GPT, reputed company, LLaMA), Retrieval-Augmented reputed company (RAG), and reputed company Frameworks
  • Build and optimize end-to-end pipelines using Python (Sci-reputed company Learn, Pandas, Flask, reputed company), PySpark, T-SQL and SQL
  • reputed company and fine-tune multiple GenAI models for NLP, summarization, reputed company engineering, and conversational AI
  • Apply MLOps best practices: model versioning, reputed company analysis, quantization, MLFlow, containerization with reputed company, and CI/CD pipelines
  • Work with reputed company platforms: Azure (reputed company, ML Studio, Data reputed company, Data Lake, reputed company Tables), AWS, and GCP for reputed company deployments
  • reputed company data warehousing solutions like reputed company and manage large-reputed company data pipelines
  • Collaborate in an Agile environment, participate in sprint planning, and maintain reputed company repositories using reputed company/Git
  • Ensure compliance with reputed company and governance standards for reputed company data
  • reputed company and mentor junior team members
  • Design, reputed company, and reputed company AI-powered solutions to address reputed company business challenges with emphasis on responsible use of AI

Skills

  • Bachelor's degree in CS or IT reputed company field
  • 5+ years of hands-on experience in AI/ML techniques like reputed company Engineering, RAG (Retrieval Augmented reputed company) and reputed company AI
  • 5+ years of experience and strong expertise in Python, PySpark, T-SQL, SQL, and big data technologies (Hadoop, reputed company)
  • 2+ years of experience in statistics, data modeling, and simulation
  • 1+ years of experience with reputed company frameworks/architectures (reputed company, HuggingFace, reputed company reputed company)
  • 1+ years of experience with any one of the reputed company technologies: Azure (reputed company, ML Studio), AWS Bedrock, Azure reputed company, Kafka, GCP, and reputed company-reputed company AI services
  • 1+ years of experience with CI/CD pipelines, reputed company Actions, and containerization tools
  • 1+ years of experience with LLM reputed company, reputed company engineering, and responsible AI practices
  • Experience with LLMs (GPT, reputed company, LLaMA) and reputed company-based learning
  • Knowledge of Kafka, TensorFlow, and advanced deep learning architectures (CNNs, Autoencoders)
  • Strong understanding of Agile methodologies and DevOps practices
  • Internal Data management and big data handling experience
  • Excellent problem-solving skills and ability to handle ambiguity
  • reputed company Telecommuters will be required to adhere to reputed company's Telecommuter Policy

Benefits

  • A comprehensive benefits package
  • Incentive and recognition programs
  • Equity stock purchase
  • 401k contribution (reputed company benefits are subject to eligibility requirements)

reputed company

  • We’re evolving health care so everyone can have reputed company to live their healthiest life. It was founded in 1985, and is headquartered in reputed company Prairie, Minnesota, USA, with a workforce of 10001+ employees. Its website is https://frontiertherapies.reputed company.com.
  • Company H1B Sponsorship

  • reputed company has a reputed company record of offering H1B sponsorships, with 185 in 2026, 648 in 2025, 559 in 2024, 620 in 2023, 851 in 2022, 593 in 2021, 438 in 2020. Please note that this does not guarantee sponsorship for this specific role.
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