Description

You will design, build, and deploy scalable machine learning solutions on Google Cloud Platform, integrating generative AI models and establishing robust monitoring for production reliability.

This role is on-site.

Responsibilities

• Design and deploy scalable ML models using Python, TensorFlow, PyTorch, and scikit-learn.
• Implement generative AI solutions with Hugging Face, LangChain, and OpenAI APIs.
• Manage containerized deployments and orchestration using Kubernetes and Databricks.
• Establish monitoring and logging systems in GCP (Vertex AI, Cloud Monitoring) to ensure model performance.
• Build RESTful APIs and microservices to integrate ML models into production environments.

Required Skills

• 5+ years of experience in ML/AI development and deployment.
• Strong proficiency in Python and core ML libraries (scikit-learn, TensorFlow, PyTorch).
• Hands-on experience with Google Cloud Platform (GCP) services.
• Experience with Databricks for big data processing and distributed computing.
• Proficiency in Kubernetes for containerized ML deployment.
• Familiarity with Generative AI frameworks (Hugging Face, LangChain, OpenAI APIs).
• Understanding of monitoring tools in GCP (Cloud Monitoring, Logging, Vertex AI).

Preferred Skills

• Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a related field.
• Experience with RESTful APIs and microservices architecture.

Key Skills

Education

Bachelor's or Master's degrees