Description

You will design, deploy, and monitor scalable machine learning solutions on Google Cloud Platform, focusing on generative AI and production reliability.

This role is on-site.

Responsibilities

• Build and deploy scalable ML models using Python, TensorFlow, and PyTorch.
• Implement generative AI applications using Hugging Face, LangChain, and OpenAI APIs.
• Manage containerized deployments and orchestration with Kubernetes.
• Establish robust monitoring and logging systems using Google Cloud Monitoring and Vertex AI.
• Process large-scale data using Databricks and distributed computing frameworks.

Required Skills

• 5+ years of experience in ML/AI development and deployment.
• Strong proficiency in Python and ML libraries (scikit-learn, TensorFlow, PyTorch).
• Hands-on experience with Google Cloud Platform services.
• Experience with Databricks for data processing.
• Proficiency in Kubernetes for containerized ML deployment.
• Familiarity with generative AI frameworks (Hugging Face, LangChain).
• Understanding of RESTful APIs and microservices architecture.

Key Skills

Education

Any Graduate