Architect - Machine Learning

4 hours ago

Bengaluru Karnataka India, Karnataka Quantiphi Full time

Role: Architect - Machine Learning

Experience Level: 9+ Years

Work location: Bangalore OR Mumbai (Hybrid)


Role & Responsibilities:

We are looking for an experienced AI/ML Architect (9+ years) with a strong background in GenAI, LLMs, and ML system design to lead end-to-end architecture, design, and development of intelligent solutions. The candidate will be responsible for building scalable AI-driven systems, integrating Large Language Models (LLMs), and driving innovation across NLP, computer vision, and data-centric workloads.


  • Architect and implement LLM-powered applications (Text-to-SQL, RAG, Agent Orchestration, and Prompt Engineering frameworks)
  • Design scalable data and ML pipelines for training, fine-tuning, and deploying models
  • Collaborate with data scientists, product managers, and DevOps teams to define AI system architecture and MLOps practices
  • Work with cloud-native services (GCP/AWS) to deploy, monitor, and optimize AI/ML workloads
  • Lead model evaluation and optimization for performance, scalability, and cost-efficiency
  • Contribute to roadmap discussions and provide technical leadership for new AI initiatives


Preferred skills/tools:

  • Strong expertise in Generative AI concepts – RAG, Text-to-SQL, Agentic workflows, and Prompt Tuning
  • Hands-on experience with open-source LLMs (Llama, Mistral, Falcon, etc.) and frameworks like LangChain, LlamaIndex, Hugging Face, or Haystack
  • Solid foundation in Machine Learning & Deep Learning, with knowledge of feature engineering, model tuning, and evaluation
  • Experience in Natural Language Processing (NLP) – sentiment analysis, summarization, text segmentation, anomaly detection, and synthetic data generation
  • Exposure to Computer Vision workflows – image/video classification, detection, or feature extraction
  • Strong coding proficiency in Python (PyTorch/TensorFlow)
  • Working knowledge of containerization (Docker) and CI/CD for ML deployment
  • Practical experience with cloud computing services (GCP preferred, AWS exposure desirable)



Behavioral Skills

  • Strong communication and collaboration skills to work across multi-functional teams and stakeholders
  • Independent problem-solver with a solution-oriented mindset and the ability to make sound architectural decisions
  • Demonstrates accountability, ownership, and continuous learning in a fast-evolving AI landscape
  • Brings strategic thinking and a passion for applying AI to real-world business problems

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