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Senior Machine Learning/AI Engineer

ATRIOS Consulting

Bengaluru · On-site Full-time Senior Yesterday

About the role

About

We are #hiring for a leading NGO. Lead the design and implementation of AI‑powered systems that enhance knowledge discovery, document understanding, and search relevance across the organisation.

Responsibilities

  • Work closely with an external AI vendor to implement a secure Knowledge Management System (KMS) integrating internal documents, emails, and data sources.
  • Build and fine‑tune AI/ML models for semantic search, summarisation, entity extraction, and text classification.
  • Develop and maintain APIs and services to integrate AI capabilities into existing organisational workflows.
  • Collaborate with program, research, and technology teams to identify and prioritise high‑impact AI use cases.
  • Establish guidelines for responsible AI usage, including transparency, data privacy, and governance.
  • Document processes, train teams, and build internal capacity for sustainable AI adoption.

Requirements

  • 2–3 years of experience in AI/ML engineering, applied AI, or data science, including experience leading technical initiatives.
  • Strong programming skills in Python and experience with frameworks such as PyTorch, TensorFlow, scikit‑learn, and HuggingFace.
  • Hands‑on experience building semantic search, retrieval‑augmented generation (RAG), or document intelligence systems.
  • Experience with vector databases such as FAISS, Pinecone, or Weaviate.
  • Familiarity with LLM orchestration tools such as LangChain or LlamaIndex.
  • Experience with API development, containerisation, and cloud platforms (AWS, GCP, or Azure).
  • Strong understanding of data governance, privacy, and responsible AI principles.
  • Ability to communicate complex technical concepts to non‑technical stakeholders.

Requirements

  • Strong programming skills in Python
  • Experience with frameworks such as PyTorch, TensorFlow, scikit-learn, and HuggingFace.
  • Hands-on experience building semantic search, retrieval-augmented generation (RAG), or document intelligence systems.
  • Experience with vector databases such as FAISS, Pinecone, or Weaviate.
  • Familiarity with LLM orchestration tools such as LangChain or LlamaIndex.
  • Experience with API development, containerisation, and cloud platforms (AWS, GCP, or Azure).
  • Strong understanding of data governance, privacy, and responsible AI principles.
  • Ability to communicate complex technical concepts to non-technical stakeholders.

Responsibilities

  • Lead the design and implementation of AI-powered systems that enhance knowledge discovery, document understanding, and search relevance across the organisation.
  • Work closely with an external AI vendor to implement a secure Knowledge Management System (KMS) integrating internal documents, emails, and data sources.
  • Build and fine-tune AI/ML models for semantic search, summarisation, entity extraction, and text classification.
  • Develop and maintain APIs and services to integrate AI capabilities into existing organisational workflows.
  • Collaborate with program, research, and technology teams to identify and prioritise high-impact AI use cases.
  • Establish guidelines for responsible AI usage, including transparency, data privacy, and governance.
  • Document processes, train teams, and build internal capacity for sustainable AI adoption.

Skills

AWSAzureFAISSGCPHuggingFaceLangChainLlamaIndexPineconePyTorchPythonRAGscikit-learnsemantic searchTensorFlowWeaviate

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