Description

Lead the development and maintenance of the MLOps platform and Generative AI solutions on Google Cloud Platform, enabling data scientists and business teams to build and deploy machine learning applications.

This role is on-site.

Responsibilities

• Develop and maintain the MLOps platform and Gen AI solutions in GCP using Python, focusing on LLMs, RAG, and Multi-Agent applications.
• Manage and improve the CI/CD ecosystem, including Jenkins and Tekton, automating release processes and resolving code issues.
• Collaborate with software engineers, data scientists, and product managers to tackle AIOps and Generative AI challenges.
• Implement and standardize machine learning development practices, utilizing paired programming for knowledge sharing and upskilling.
• Orchestrate ML workflows using tools like Airflow and Kubeflow, and manage containerized services with Kubernetes and Docker.

Required Skills

• 3+ years of backend software engineering experience in Python with strong object-oriented programming skills.
• 2+ years of experience in Cloud Engineering, specifically with Google Cloud Platform (Vertex AI, Cloud Functions, BigQuery).
• Hands-on experience with MLOps and Generative AI, including building RAG pipelines and Multi-Agent systems.
• Proficiency in container management (Kubernetes, Docker) and ML workflow orchestration (Airflow, Kubeflow).
• Experience with DevOps tools such as Jenkins or Tekton for CI/CD pipeline management.
• Knowledge of Infrastructure as Code (Terraform) and scripting languages (Bash, PowerShell).
• Basic understanding of C/C++.

Preferred Skills

• Master’s degree in Computer Science, Machine Learning, or a related field.
• Experience working with complex, cross-functional teams in a hybrid or on-site environment.

Key Skills

Education

Any Graduate