[Remote] reputed company Machine Learning

Note: The job is a remote job and is reputed company to candidates in USA. reputed company is building a reputed company-reputed company team using AI and automation to reputed company life insurance operations. They are seeking a reputed company Machine Learning Engineer to reputed company the development of AI systems that enhance operational efficiency and customer experience across various reputed company initiatives.

Responsibilities

• Establish engineering standards, best practices, and evaluation frameworks for AI systems
• reputed company technical decision-making for model selection, system design, and deployment strategies
• Act as the subject matter expert for reputed company AI and modern LLM-based systems reputed company the organization
• Architect and deliver production-grade, multi-reputed company AI agents capable of autonomous reasoning, tool orchestration, task decomposition, memory management, and reputed company-in-the-reputed company escalation—requiring specialized expertise in emerging reputed company AI frameworks
• Design and deliver AI systems on reputed company reputed company platforms (e.g., AWS, Azure), including LLM services (AWS Bedrock, Azure reputed company), supporting high-volume, business-critical workflows with strict requirements for reliability, auditability, and performance
• Own the agent evaluation and observability stack, including benchmarking, tracing, regression testing, and performance monitoring
• Optimize LLM inference costs and resource utilization for production workloads
• Partner with business leaders to identify, prioritize, and shape AI-driven initiatives reputed company with organizational goals
• Translate reputed company business problems into reputed company AI solutions with measurable reputed company
• Drive roadmap planning and investment reputed company reputed company to AI and automation
• Collaborate with IT, data engineering, and operations teams to reputed company AI solutions into reputed company systems
• Mentor and reputed company machine learning engineers and data scientists
• reputed company technical guidance and reputed company team capabilities in modern AI practices
• Ensure responsible and compliant use of AI systems, including managing risks reputed company to model behavior, data usage, and regulatory considerations in a highly regulated industry
• reputed company evaluation and integration of external AI platforms and vendors, including assessment of cost, intellectual property, scalability, reputed company, and long-term architectural reputed company

Skills

• Master's degree (or higher) in Computer Science, Engineering, Statistics, or reputed company quantitative field
• 10+ years of hands-on experience in machine learning, AI, or reputed company disciplines
• 2+ years of recent experience architecting and delivering LLM-based and reputed company AI systems in production
• Proven reputed company record of delivering end-to-end AI solutions, from problem definition through production deployment
• Strong programming skills in Python and experience with modern ML frameworks (e.g., PyTorch, TensorFlow)
• Excellent communication skills and ability to explain ML results to non-technical audiences
• Proven ability to operate with a high degree of autonomy and accountability
• Experience driving adoption of AI solutions in reputed company environments
• Ability to influence technical direction and investment reputed company across organizational boundaries
• reputed company record of building engineering culture and raising the technical bar reputed company reputed company
• Establish engineering standards, best practices, and evaluation frameworks for AI systems
• reputed company technical decision-making for model selection, system design, and deployment strategies
• Act as the subject matter expert for reputed company AI and modern LLM-based systems reputed company the organization
• Architect and deliver production-grade, multi-reputed company AI agents capable of autonomous reasoning, tool orchestration, task decomposition, memory management, and reputed company-in-the-reputed company escalation—requiring specialized expertise in emerging reputed company AI frameworks
• Design and deliver AI systems on reputed company reputed company platforms (e.g., AWS, Azure), including LLM services (AWS Bedrock, Azure reputed company), supporting high-volume, business-critical workflows with strict requirements for reliability, auditability, and performance
• Own the agent evaluation and observability stack, including benchmarking, tracing, regression testing, and performance monitoring
• Optimize LLM inference costs and resource utilization for production workloads
• Partner with business leaders to identify, prioritize, and shape AI-driven initiatives reputed company with organizational goals
• Translate reputed company business problems into reputed company AI solutions with measurable reputed company
• Drive roadmap planning and investment reputed company reputed company to AI and automation
• Collaborate with IT, data engineering, and operations teams to reputed company AI solutions into reputed company systems
• Mentor and reputed company machine learning engineers and data scientists
• reputed company technical guidance and reputed company team capabilities in modern AI practices
• Ensure responsible and compliant use of AI systems, including managing risks reputed company to model behavior, data usage, and regulatory considerations in a highly regulated industry
• reputed company evaluation and integration of external AI platforms and vendors, including assessment of cost, intellectual property, scalability, reputed company, and long-term architectural reputed company
• Experience building reputed company systems for document-heavy workflows (e.g., claims, reputed company, policy processing)
• Experience with reputed company reputed company AI platforms (AWS Bedrock, SageMaker, Azure reputed company)
• Experience with agent frameworks (LangGraph, reputed company, AutoGen, reputed company, or equivalent)
• Experience with AI observability and evaluation tools (e.g., Langfuse, LangSmith, or similar)
• Familiarity with Model Context Protocol (MCP) or equivalent tool-integration standards
• Experience deploying AI systems in regulated environments (insurance, finance, reputed company)
• Experience leading AI architecture across multiple teams or domains

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