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AI/ ML GenAI Architect

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Experience: 10-17 Years
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Pan-India

Capabilities

  • You must have expertise in AI/ML, Generative AI, LLMs, NLP, and Deep Learning.
  • You should have experience with RAG, LangChain, Mistral, LLaMA, and Hugging Face frameworks.
  • Strong skills in Python, TensorFlow, PyTorch, and Django for AI application development.
  • Knowledge of Vector Databases and scalable AI/ML architectures.
  • Experience across the end-to-end machine learning lifecycle from model development to deployment.
  • Strong foundation in software engineering, data handling (SQL/NoSQL), and distributed systems.

Qualifications

Master's or Ph.D. in a relevant field.

Skills

Gen AI, LLM, Machine Learning, Deep Learning,NLP, RAG, Lang chain, Mistral, Llama, Hugging Face, Python, Tensorflow, Pytorch, Django, Vector DB

Your Team

You will work with a top-tier organization that's been in the game for 50 years, partnering with some of the world's biggest businesses. As India's largest multinational business group, they boast a workforce of over 500,000 highly skilled consultants spread across 46+ countries. Beyond that, they're at the forefront of the financial markets and data industry, delivering exceptional services in Data & Analytics, Capital Markets, and Post Trade. Their commitment to excellence reverberates in everything they do.

Your Job

  • You will develop and optimize ML and Generative AI models, collaborating with data scientists for model training, evaluation, and improvement.
  • You will lead end-to-end ML application development, from model design to production deployment.
  • You should have the ability to design scalable ML architectures, pipelines, APIs, and intelligent systems using strong software engineering principles.
  • Ability to build data pipelines for feature engineering, data transformation, and model training.
  • You will ensure the performance, scalability, and reliability of deployed ML models and systems.
  • You will collaborate with cross-functional teams, including data science, engineering, product, and DevOps teams.
  • You should drive innovation by exploring new ML, Generative AI, and MLOps technologies.
  • Ability to maintain clear technical documentation for ML models, pipelines, and systems.