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Machine Learning Lead Analyst, Generative AI

Lead the design and delivery of enterprise-grade Generative AI and LLM solutions, from scalable ML pipelines and RAG architectures to responsible AI governance and real-time insight dashboards.

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About This Role

This role sits at the intersection of Generative AI engineering and enterprise product development. You will serve as a GenAI subject matter expert and hands-on architect, building production-ready solutions that combine LLMs, vector databases, and API integrations with a focus on privacy, security, and business outcomes.

What You Will Do

  • Build scalable software solutions using LLMs and other ML models to solve complex enterprise challenges
  • Architect and develop enterprise-grade AI solutions with focus on privacy, security, fairness, and responsible AI practices
  • Design AI output structures (JSON, HTML, nested nodes) that can be consumed directly by downstream dashboards with minimal development overhead
  • Build extensible API integrations and low-code UI/UX solutions to extract, process, and surface AI insights in high-performing dashboards
  • Work with Product Development as a GenAI subject matter expert, envision solution outcomes and design viable architectures to meet them
  • Understand how AI models interpret datasets and build prompts that reliably produce expected outcomes
  • Architect and develop infrastructure for scalable, distributed ML systems
  • Work with frameworks including TensorFlow, PyTorch, Hugging Face, LangChain, and LlamaIndex
  • Optimise generative AI models for performance, scalability, and efficiency
  • Develop and maintain AI pipelines, data preprocessing, feature extraction, model training, evaluation, and deployment
  • Contribute to the establishment of best practices and standards for GenAI development

What You Need to Succeed

  • 6+ years overall experience; 5+ years full-stack engineering (C#, Python)
  • Proficiency in designing architecture, building API integrations, configuring cloud services, and setting up authentication, monitoring, and logging
  • Production experience implementing AI systems, computer vision, NLP, and/or enterprise AI at scale
  • Experience with vector databases (Pinecone or equivalent) for information retrieval
  • Strong understanding of NLG and GenAI, transformers, LLMs, text embeddings
  • Experience designing scalable classification, text extraction, and data connector systems across formats (PDF, CSV, DOCX)
  • ML libraries and frameworks: PyTorch, TensorFlow, Hugging Face, LangChain, LlamaIndex
  • 3+ years in a technical leadership role setting technical direction for project teams
  • Programming proficiency in C/C++, Java, and Python
  • Excellent problem-solving and communication skills for both technical and non-technical audiences

What Will Give You an Edge

  • Experience with cloud-based platforms, AWS, GCP, or Azure
  • Exposure to self-supervised learning, transfer learning, and reinforcement learning

What Qfyre Offers

  • GenAI leadership role with genuine technical ownership and cross-functional influence
  • Exposure to cutting-edge LLM and RAG architectures at enterprise scale
  • Competitive compensation package with remote-first flexibility
  • Opportunity to define GenAI best practices for a high-growth enterprise programme

Skills and Technologies

LLMsGenAIPythonRAGNLPPyTorchAI
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FAQ

Questions About This Role

Common questions from candidates and applicants.

What does the application process look like for the Machine Learning Lead Analyst, Generative AI role?+

Submit your application via the form on this page. A Qfyre domain specialist will review your profile, not an automated keyword filter, and will be in touch within two business days if there is a strong fit. We may arrange a brief introductory call before presenting your profile to the client.

Is this Machine Learning Lead Analyst, Generative AI role a permanent position or contract?+

This is a Full Time position based in Bengaluru / Remote. The working mode is Remote-first / Hybrid. Specific contract terms and benefits are discussed during the briefing process once your profile has been reviewed.

What experience level is required for the Machine Learning Lead Analyst, Generative AI role?+

This role requires 6+ years of relevant experience. The specific technical requirements and domain expectations are outlined in the full job description above. If your experience is slightly outside the stated range but you have strong relevant capability, we encourage you to apply, we assess profiles holistically, not against a checklist.

Does Qfyre assist with relocation for this role?+

Relocation support varies by client and mandate. Mention your relocation preferences in the application form and our team will clarify the client's position during the initial briefing. Most of our GCC and enterprise clients have structured relocation support programmes for senior hires.