Job Summary
We are seeking an experienced Infra Dev Expert with 12 to 15 years of experience to join our dynamic team. The ideal candidate will have a strong background in AI and ML concepts as well as extensive experience with GCP Azure and AWS. This role involves designing implementing and maintaining infrastructure solutions that support our AI and ML initiatives. The candidate will play a crucial role in optimizing our cloud infrastructure to ensure high performance scalability and reliability.
Responsibilities
Design and implement robust infrastructure solutions to support AI and ML initiatives.Provide technical expertise in AI and ML concepts to optimize infrastructure performance.Collaborate with data scientists and engineers to ensure seamless integration of AI and ML models.Monitor and maintain cloud infrastructure to ensure high availability and reliability.Lead the development of infrastructure as code (IaC) practices within the team.Provide guidance and mentorship to junior team members on best practices and technical skills.Collaborate with cross-functional teams to align infrastructure solutions with business goals.Stay updated with the latest trends and advancements in cloud technologies and AI/ML.Possess a deep understanding of AI and ML concepts and their application in infrastructure.Demonstrate extensive experience with GCP Azure and AWS cloud platforms.Show proficiency in implementing security best practices in cloud environments.Design development and maintenance of Gen AI models for Hybrid Cloud Delivery life cycle management and pilot implementationsLead strategic meetings with business and user groups to define GenAI-driven requirementsModel testing and refinements deploying models to production and conducting Gen AI fit-gap analysis and ROI assessmentsDefine cognitive architectures conduct Gen AI research and publish industry watch newslettersDocumentation related to model design testing and implementation as well as reports on model performance and improvementsOversee strategic planning coordination and execution of AI projects on a day-to-day basisManaging computational resources scaling infrastructure ensuring AI infrastructure security and aligning Gen AI security needs with the enterprise security frameworkEstablishing auditing and compliance mechanisms budget allocation and oversight