Description

You will design, build, and deploy scalable machine learning solutions and generative AI applications on Google Cloud Platform. You own the end-to-end lifecycle from data processing in Databricks to containerized deployment via Kubernetes, ensuring robust monitoring and reliability in production.

This role is on-site.

Responsibilities

• Develop and deploy scalable ML models using Python, TensorFlow, and PyTorch.
• Integrate generative AI frameworks such as Hugging Face, LangChain, and OpenAI APIs.
• Manage distributed computing and big data processing workflows within Databricks.
• Implement monitoring systems using GCP Cloud Monitoring, Logging, and Vertex AI.
• Deploy containerized services and microservices via Kubernetes.

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 and Databricks.
• Proficiency in Kubernetes for containerized ML deployment.
• Experience with Generative AI frameworks (Hugging Face, LangChain, OpenAI).
• Understanding of distributed computing and big data processing.
• Experience building RESTful APIs and microservices architecture.

Preferred Skills

• Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or related field.

Key Skills

Education

Bachelor's or Master's degrees