As an AI Tech Lead / Delivery Lead at Virtusa, you will sit at the intersection of cutting-edge innovation and rigorous delivery. You will be responsible for architecting cloud-native AI/ML solutions, leading high-performance engineering teams, and ensuring that models move seamlessly from experimental notebooks to robust production environments.
You aren't just managing tasks; you are building the automated backbone (MLOps) that allows AI to scale within the enterprise.
Requirements
- Experience: 6–8 years in a technical leadership or delivery role within AI/ML.
- Cloud & MLOps: Hands-on expertise in cloud-native AI architecture and MLflow.
- Automation: Proven track record of building CI/CD pipelines in Azure DevOps.
- Programming: Advanced Python proficiency (Scikit-learn, PyTorch, TensorFlow, etc.).
- Process: Mastery of Agile methodologies and Jira for program management.
Preferred Skills: - GenAI: Experience with Large Language Models (LLMs) and Prompt Engineering.
- Data Engineering: Solid understanding of ETL pipelines and data orchestration.
- Infrastructure: Experience with Docker and Kubernetes for containerized model deployment.
- Architecture: Familiarity with Infrastructure as Code (IaC) and Microservices/APIs.
Benefits
- Remote work model
- Professional training programs
- Work with a team that is recognized for its excellence. We have been featured in the Deloitte Technology Fast 50 & FT 1000 rankings. We have also received the Great Place To Work® certification for seven years in a row
