AI Architect

As an AI Architect at our company, you will play a crucial role in leading the design, development, and implementation of advanced AI solutions. Your responsibilities will include: - Leading the design and architecture of AI/ML solutions across the organization. - Collaborating with various teams to define AI use cases and deliverables. - Establishing architecture standards and best practices for AI solution development. - Ensuring scalability, robustness, and integration of AI models with existing systems. - Managing end-to-end MLOps processes, including versioning, monitoring, and CI/CD. - Evaluating and selecting AI tools, frameworks, and technologies aligned with enterprise needs. - Staying updated on AI/ML trends, tools, and regulations for ethical AI practices. - Providing technical leadership and mentorship to development teams. - Creating architecture documentation and presentations for stakeholders and leadership. To qualify for this role, you should have: - A Bachelor's or Master's degree in Computer Science, Data Science, Artificial Intelligence, or a related field. - Proven experience in architecting AI/ML solutions in cloud environments (AWS, Azure, or GCP). - Deep understanding of machine learning algorithms, NLP, computer vision, and frameworks like TensorFlow and PyTorch. - Proficiency in Python and relevant ML libraries. - Experience with data engineering pipelines, data lakes, and APIs. - Familiarity with MLOps platforms such as MLflow, Kubeflow, SageMaker, and Azure ML. - Knowledge of software architecture patterns, microservices, and strong communication skills. Preferred qualifications include AI/ML certifications, experience in regulated industries, familiarity with Generative AI and LLMs like GPT, and experience in DevOps or Infrastructure as Code tools like Terraform and Kubernetes. Please note that this job description was sourced from hirist.tech.,