Production Grade AI Systems Developer

21 hours ago


Guntur, Andhra Pradesh, India beBeeArtificial Full time ₹ 2,00,00,000 - ₹ 2,40,00,000

Geektrust is seeking a seasoned Senior Machine Learning Engineer to design and deploy production-grade AI systems utilizing cutting-edge technologies. This hands-on role will involve working with Google Cloud (Vertex AI) and Generative AI applications.

Key Responsibilities:
  • Develop and deploy end-to-end ML & Generative AI pipelines on Google Vertex AI (Pipelines, Model Registry, Endpoints).
  • Leverage Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG)-based systems to power applications such as summarization, intelligent agents, and content generation.
  • Implement Model Operations (MLOps) pipelines to automate model deployment, monitoring, and retraining in production environments.
  • Utilize GCP services like BigQuery, Cloud Storage, and Cloud Functions to manage large-scale data and deployments efficiently.
  • 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.
Requirements:
  • Proven expertise in Google Vertex AI (a must-have).
  • Strong work experience in Generative AI / LLMs (code generation, content creation, intelligent agents, or RAG).
  • Solid background in MLOps (Kubeflow, MLflow, CI/CD, monitoring).
  • Expertise in Python, along with at least one other language (Java, Go, C/C++, R, SQL).
  • Practical experience deploying tested ML modules with measurable performance outcomes.
  • Proficiency with TensorFlow, PyTorch, Scikit-learn, Keras.

This role demands hands-on experience with Google Cloud and Generative AI applications. If you are an expert in designing and deploying production-grade AI systems, we encourage you to apply.



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