Description

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

Responsibilities

• Design and deploy secure, enterprise-grade cloud applications.
• Lead cross-functional teams and mentor technical staff.
• Implement AI/ML security techniques including model auditing, explainability, and LLM endpoint protection.
• Influence and educate both technical and non-technical stakeholders on architecture decisions.
• Ensure all solutions meet cloud security, data privacy, and compliance standards.

Required Skills

• 15+ years of experience in cloud architecture.
• 4+ years of experience in AI/ML solution design and implementation.
• Hands-on expertise with AWS, GCP, or Azure services and tooling.
• Experience with modern ML frameworks including TensorFlow, PyTorch, and Hugging Face.
• Proficiency with MLOps tools such as Kubeflow, MLflow, and Vertex AI Pipelines.
• Strong understanding of cloud security and 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