AI Engineering Expert

2 weeks ago

Mumbai, Maharashtra, India beBeeArtificial Full time ₹ 1,50,00,000 - ₹ 2,00,00,000

Senior AI Engineer


Design, build, and deploy production-grade AI systems using cutting-edge technologies.

Key Responsibilities:

  • Develop and deploy end-to-end ML & Generative AI pipelines on Google Vertex AI.
  • Work with Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG)-based systems to power applications like summarization, intelligent agents, and content generation.
  • Implement Model Operations (MLOps) pipelines to automate model deployment, monitoring, and retraining in production.
  • Leverage GCP services such as BigQuery, Cloud Storage, and Cloud Functions to manage large-scale data and deployments.
  • Optimize models for scalability, cost, and performance in real-world use cases.
  • Collaborate with cross-functional teams to translate business problems into production-ready AI solutions.

Required Skills:

  1. Hands-on experience with Google Vertex AI is essential.
  2. Proven work in Generative AI / LLMs, including code generation, content creation, intelligent agents, or RAG.
  3. Solid background in MLOps, including Kubeflow, MLflow, CI/CD, and monitoring.
  4. Expertise in Python, plus at least one other language: Java, Go, C/C++, R, or SQL.
  5. Practical experience deploying tested ML modules with measurable performance outcomes.
  6. Proficiency with TensorFlow, PyTorch, Scikit-learn, Keras, and relevant frameworks.

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