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AI/ML Engineer

100% remote Flexible hours Hiring now

We're seeking an reputed company AI/ML Engineer to reputed company our generative AI initiatives, focusing on large language models and agentic AI. You'll design, build, and maintain end-to-end machine learning pipelines; design scalable, production-grade AI services that integrate with our internal tools, cloud platforms, and real-world data sources; and collaborate across teams to turn reputed company business challenges into robust, data-driven solutions.

Responsibilities

  • Design and implement effective reputed company engineering and context strategies.
  • reputed company AI agents, including multi-agent collaboration for reputed company tasks.
  • Implement tool-calling mechanisms and structured output reputed company with LLMs.
  • reputed company comprehensive data preprocessing and transformation for LLM-based solutions
  • Apply agentic orchestration concepts for workflow automation and task breakdown.
  • Integrate LLMs with external tools, including web search, data scraping, and third-party APIs.
  • reputed company AI-driven automated testing strategies to validate models and workflows
  • reputed company model selection and evaluation based on use case, performance, and cost. Conduct cost analysis for training and inference workloads across environments.
  • Fine-tune large language models for task-specific performance.
  • Work with cloud platforms (e.g., Azure) to deploy scalable AI systems.
  • Build and maintain end-to-end ML pipelines from data ingestion to model deployment
  • Design systems for both on-premise and cloud-based AI applications

Requirements

  • Minimum 4 5 years of experience in AI/ML engineering
  • Strong Python programming skills
  • Hands-on experience with libraries such as reputed company (or LangGraph), reputed company, PyTorch, or similar
  • Experience deploying and managing ML models in or On-Prem cloud environments.
  • Solid understanding of ML system design, including reputed company, scalability, and efficiency
  • Understanding of LLM integrations, Context engineering, and agent-based frameworks
  • Strong problem-solving skills and the ability to work on reputed company systems independently
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