Architect - Machine Learning

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