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Avaz

AI / ML Engineer

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Description

We are looking for an AI/ML Engineer who can use AI to empower people with disabilities. The AI/ML Software Engineer will design and build software tools that incorporate AI/ML techniques to automate open-ended tasks, assist the internal team, and improve external user interactions. This role involves developing solutions such as chatbots, intelligent memory agents, knowledge retrieval systems, and AI-driven data processing.


Responsibilities

  • Design and build software systems integrating AI/ML techniques to automate tasks and enhance user experience
  • Collaborate on system architecture, workflows, and agent design decisions
  • Contribute to technical decision-making for data processing, retrieval strategies, and system integration
  • Evaluate and apply appropriate techniques, including LLM and non-LLM approaches
  • Develop testing and evaluation pipelines for AI/ML systems
  • Create unit and integration tests for AI-enabled workflows and data pipelines
  • Improve system performance, including accuracy, latency, and cost efficiency
  • Support deployment of AI/ML applications in cloud environments
  • Deliver production-grade systems aligned with requirements
  • Document system designs, workflows, and technical decisions
  • Stay current with AI/ML advancements and apply them within project constraints


Requirements:

  • At least 3 years of experience in data science, machine learning, or applied AI development.
  • Python proficiency for backend services, APIs, and data pipelines.
  • Experience with LLMs, embeddings, and RAG systems.
  • Fine-tuning language or embedding models.
  • AI system testing, evaluation pipelines, and synthetic data usage.
  • Experience with system architecture and technical decision-making.
  • Experience with production software, version control, and containerization.
  • Excellent communication skills and ability to lead technical discussions.


Nice to have:

  • Experienced with Flutter development and Dart programming.
  • Graph databases and graph-based retrieval techniques.
  • Full-stack capabilities with strong problem-solving skills.
  • Experience with distributed systems.
  • Passion for creating technology with a positive social impact.

Skills

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See also

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