Job
Description
**Job Description:** As an experienced IT professional with a focus on AI/ML leadership roles, you will be responsible for various key aspects of architecture, infrastructure design, AI project leadership, model development & deployment, security & compliance, team leadership & collaboration, monitoring & maintenance. Your role will involve translating business objectives into actionable AI strategies and solutions, overseeing the entire AI lifecycle, leading the selection and development of AI/ML models, ensuring data privacy and security compliance, monitoring model performance, and leading and mentoring a team of cloud engineers, ML practitioners, software developers, and data analysts. **Key Responsibilities:** - **Architecture & Infrastructure Design:** - Architect scalable, resilient, and secure AI/ML infrastructure on AWS using services like EC2, SageMaker, Bedrock, VPC, RDS, DynamoDB, CloudWatch. - Develop Infrastructure as Code (IaC) using Terraform, and automate deployments with CI/CD pipelines. - Optimize cost and performance of cloud resources used for AI workloads. - **AI Project Leadership:** - Translate business objectives into actionable AI strategies and solutions. - Oversee the entire AI lifecycle from data ingestion, model training, and evaluation to deployment and monitoring. - Drive roadmap planning, delivery timelines, and project success metrics. - **Model Development & Deployment:** - Lead selection and development of AI/ML models, particularly for NLP, GenAI, and AIOps use cases. - Implement frameworks for bias detection, explainability, and responsible AI. - Enhance model performance through tuning and efficient resource utilization. - **Security & Compliance:** - Ensure data privacy, security best practices, and compliance with IAM policies, encryption standards, and regulatory frameworks. - Perform regular audits and vulnerability assessments to ensure system integrity. - **Team Leadership & Collaboration:** - Lead and mentor a team of cloud engineers, ML practitioners, software developers, and data analysts. - Promote cross-functional collaboration with business and technical stakeholders. - Conduct technical reviews and ensure delivery of production-grade solutions. - **Monitoring & Maintenance:** - Establish robust model monitoring, ing, and feedback loops to detect drift and maintain model reliability. - Ensure ongoing optimization of infrastructure and ML pipelines. **Qualifications Required:** - 10+ years of experience in IT with 4+ years in AI/ML leadership roles. - Strong hands-on experience in AWS services: EC2, SageMaker, Bedrock, RDS, VPC, DynamoDB, CloudWatch. - Expertise in Python for ML development and automation. - Solid understanding of Terraform, Docker, Git, and CI/CD pipelines. - Proven track record in delivering AI/ML projects into production environments. - Deep understanding of MLOps, model versioning, monitoring, and retraining pipelines. - Experience in implementing Responsible AI practices including fairness, explainability, and bias mitigation. - Knowledge of cloud security best practices and IAM role configuration. - Excellent leadership, communication, and stakeholder management skills. *Note: Good-to-Have Skills and any additional details about the company were not mentioned in the provided job description.* **Job Description:** As an experienced IT professional with a focus on AI/ML leadership roles, you will be responsible for various key aspects of architecture, infrastructure design, AI project leadership, model development & deployment, security & compliance, team leadership & collaboration, monitoring & maintenance. Your role will involve translating business objectives into actionable AI strategies and solutions, overseeing the entire AI lifecycle, leading the selection and development of AI/ML models, ensuring data privacy and security compliance, monitoring model performance, and leading and mentoring a team of cloud engineers, ML practitioners, software developers, and data analysts. **Key Responsibilities:** - **Architecture & Infrastructure Design:** - Architect scalable, resilient, and secure AI/ML infrastructure on AWS using services like EC2, SageMaker, Bedrock, VPC, RDS, DynamoDB, CloudWatch. - Develop Infrastructure as Code (IaC) using Terraform, and automate deployments with CI/CD pipelines. - Optimize cost and performance of cloud resources used for AI workloads. - **AI Project Leadership:** - Translate business objectives into actionable AI strategies and solutions. - Oversee the entire AI lifecycle from data ingestion, model training, and evaluation to deployment and monitoring. - Drive roadmap planning, delivery timelines, and project success metrics. - **Model Development & Deployment:** - Lead selection and development of AI/ML models, particularly for NLP, GenAI, and AIOps use cases. - Implement frameworks for bias
