AI/ML Cloud Solution Architect (MLOps)

Job Description:

• 15+ years of experience in cloud architecture, with 4+ years with AI/ML solution design and implementation.

• Deep hands-on expertise with AWS, GCP, an/or Azure, services, and tooling.

• Strong experience with modern ML frameworks (TensorFlow, PyTorch, Hugging Face, etc.) and MLOps tools (Kubeflow, MLflow, Vertex AI Pipelines).

• Proven record designing and deploying secure, enterprise-grade cloud applications.

• Solid understanding of cloud security, data privacy, and compliance standards.

• Exceptional communication skills; able to influence and educate technical and non-technical audiences alike.

• Demonstrated experience leading cross-functional teams and mentoring.

• Familiarity with AI/ML-related security techniques such as model auditing, explain ability, LLM endpoint protection, and responsible AI frameworks.

• What would be great to have:

o Experience working with enterprise-scale financial services or other regulated industries.

o Background in software engineering, DevSecOps, or AI security research.

o Certifications: AWS Certified Machine Learning – Specialty, Google Cloud Professional ML Engineer, or security-focused credentials (e.g., CISSP, AWS Security Specialty).