Senior Technical Lead

About the role

We are seeking a highly skilled MLOps Technical lead the design and implementation of scalable AI infrastructure and model lifecycle management solutions. The ideal candidate will have deep expertise in CICD pipelines for machine learning, model governance, and operationalizing AI systems with traceability,

What you'll do

• Implement robust MLOps frameworks to support scalable AI/ML model deployment and lifecycle management
• Design and maintain CI/CD pipelines tailored for machine learning workflows, ensuring seamless integration with data engineering and DevOps practices
• Establish model governance protocols including versioning, approval workflows, and compliance checks
• Enable traceability across the ML lifecycle from data ingestion to model deployment and monitoring
• Implement rollback mechanisms and audit trails to ensure reliability and accountability in model operations

What you need

• 3–6 yrs of experience
• Python
• AWS
• Docker
• Kubernetes
• MLOps
• CI/CD
• Any graduate

Good to have

• Machine learning
• Azure
• GCP
• Jenkins
• TensorFlow
• PyTorch