AI Engineering and AI Security SME

You are an experienced AI Engineering & AI Security Subject Matter Expert (SME) who will be responsible for designing, developing, and securing enterprise AI/ML and Generative AI solutions. Your role will involve building scalable AI applications, implementing secure AI architectures, and ensuring compliance with AI security and governance standards. - Develop and deploy AI/ML and GenAI solutions using Python and modern AI frameworks. - Build LLM, RAG, and AI agent-based applications. - Implement MLOps, CI/CD, monitoring, and cloud deployment practices. - Secure AI systems against threats such as prompt injection, data leakage, and adversarial attacks. - Conduct AI security reviews, risk assessments, and governance activities. - Collaborate with engineering, cloud, and cybersecurity teams to deliver secure AI platforms. Your required skills include: - Strong experience in Python, AI/ML, and Generative AI technologies. - Hands-on expertise with Lang Chain, Llama Index, Open AI/Hugging Face, TensorFlow/PyTorch. - Experience with AWS/Azure/GCP, Docker, Kubernetes, and MLOps tools. - Good understanding of AI security, OWASP LLM risks, DevSecOps, and compliance standards. - Excellent communication and stakeholder management skills. Preferred qualifications: - Certifications in AI, Cloud, or Cybersecurity. - Experience with enterprise AI deployments and Responsible AI frameworks. You are an experienced AI Engineering & AI Security Subject Matter Expert (SME) who will be responsible for designing, developing, and securing enterprise AI/ML and Generative AI solutions. Your role will involve building scalable AI applications, implementing secure AI architectures, and ensuring compliance with AI security and governance standards. - Develop and deploy AI/ML and GenAI solutions using Python and modern AI frameworks. - Build LLM, RAG, and AI agent-based applications. - Implement MLOps, CI/CD, monitoring, and cloud deployment practices. - Secure AI systems against threats such as prompt injection, data leakage, and adversarial attacks. - Conduct AI security reviews, risk assessments, and governance activities. - Collaborate with engineering, cloud, and cybersecurity teams to deliver secure AI platforms. Your required skills include: - Strong experience in Python, AI/ML, and Generative AI technologies. - Hands-on expertise with Lang Chain, Llama Index, Open AI/Hugging Face, TensorFlow/PyTorch. - Experience with AWS/Azure/GCP, Docker, Kubernetes, and MLOps tools. - Good understanding of AI security, OWASP LLM risks, DevSecOps, and compliance standards. - Excellent communication and stakeholder management skills. Preferred qualifications: - Certifications in AI, Cloud, or Cybersecurity. - Experience with enterprise AI deployments and Responsible AI frameworks.