Key Responsibilities

• Design and deploy scalable machine learning solutions on Google Cloud Platform
• Integrate cutting-edge generative AI models into production systems
• Establish robust monitoring and observability systems to ensure ML model performance and reliability
• Build and manage containerized ML workloads using Kubernetes
• Develop and maintain distributed data pipelines using Databricks
• Collaborate with cross-functional teams to deliver end-to-end ML solutions
• Architect RESTful APIs and microservices for ML model serving

Requirements

• Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or related field
• 5+ years of experience in ML/AI development and deployment
• Strong programming skills in Python and ML libraries (scikit-learn, TensorFlow, PyTorch)
• Hands-on experience with GCP services and Databricks
• Proficiency in Kubernetes and containerized ML deployment
• Experience with Generative AI frameworks (e.g., Hugging Face, LangChain, OpenAI APIs)
• Familiarity with monitoring tools in GCP (Cloud Monitoring, Logging, Vertex AI)
• Strong understanding of distributed computing and big data processing
• Experience with RESTful APIs and microservices architecture

Skills Required