Description

You will design and implement enterprise-grade cloud and AI/ML solutions.

Responsibilities

• Design and deploy secure, enterprise-grade cloud applications.
• Lead cross-functional teams and mentor technical staff.
• Implement AI/ML solution architectures using modern frameworks and MLOps tools.
• Influence and educate both technical and non-technical stakeholders.
• Ensure cloud security, data privacy, and compliance standards are met.

Required Skills

• 10+ years of experience in cloud architecture.
• 4+ years of experience with AI/ML solution design and implementation.
• Hands-on expertise with AWS, GCP, or Azure services and tooling.
• Proficiency with TensorFlow, PyTorch, and Hugging Face.
• Experience with MLOps tools including Kubeflow, MLflow, and Vertex AI Pipelines.
• Knowledge of AI/ML security techniques like model auditing, explainability, and LLM endpoint protection.
• Understanding of responsible AI frameworks.
• Any Graduate degree.

Preferred Skills

• Experience in enterprise-scale financial services or regulated industries.
• Background in software engineering, DevSecOps, or AI security research.
• AWS Certified Machine Learning – Specialty, Google Cloud Professional ML Engineer, or security credentials like CISSP or AWS Security Specialty.

Key Skills

Education

Any Graduate