Description

You will build and deploy scalable MLOps platforms and Generative AI solutions on GCP.

Responsibilities

• Build and deploy scalable MLOps platforms and Generative AI solutions on GCP to support data scientists and ML engineers.
• Maintain CI/CD pipelines for the continuous integration, testing, and deployment of ML models and cloud-native applications.
• Develop and operationalize Gen AI applications, including Retrieval-Augmented Generation (RAG) and Multi-Agent Systems leveraging LLMs.
• Support ML workflows using orchestration tools like Airflow and KFP to streamline experimentation and deployment.
• Implement infrastructure as code (IaC) using Terraform and manage containerized environments with Docker and Kubernetes.

Required Skills

• 5+ years of experience in software engineering or systems design.
• Proficiency with GCP services including Vertex AI, BigQuery, and Cloud Functions.
• Experience building and maintaining CI/CD pipelines and ecosystems.
• Hands-on experience with Generative AI, RAG, and Multi-Agent Systems.
• Strong Python programming skills and experience with modern ML/AI tooling.
• Experience with orchestration tools such as Airflow and KFP.
• Practical knowledge of Terraform, Docker, and Kubernetes.
• Ability to debug and resolve complex issues across data pipelines and microservices.
• Any Graduate degree with a foundation in software engineering.

Key Skills

Education

Any Graduate