
AI Infra Architect
3 weeks ago
Our Client Corporation provides digital engineering and technology services to Forbes Global 2000 companies worldwide. Our Engineering First approach ensures we can execute all ideas and creatively solve pressing business challenges. With industry expertise and empowered agile teams, we prioritize execution early in the process for impactful results. We combine logic, creativity and curiosity to build, solve, and create. Every day, we help clients engage with new technology paradigms, creatively building solutions that solve their most pressing business challenges and move them to the forefront of their industry.
Client: LTIMINDTREE
Job Type: C2h
Role: AI Infra Architect
Experience: 8-12y
Work Location: Hyderabad
Payroll on : people prime world wide
Notice : 0 to 15 days
Job Description:-
Architect the Future Lead the endtoend design and development of our AI infrastructure encompassing hardware software networking and multicloud environments
Innovate and Evaluate Assess select and implement the bestinclass technologies tools and frameworks eg TensorFlow PyTorch Kubernetes Docker to build and maintain our AI platforms
Optimize for Performance Engineer and implement infrastructure that scales seamlessly with our evolving AIML needs continuously monitoring and optimizing for both performance and costefficiency
Champion Security and Compliance Define and enforce infrastructure standards and best practices ensuring unwavering compliance with security policies data protection regulations and ethical AI principles
Build DataDriven Pipelines Collaborate on the architecture and implementation of highly efficient data pipelines for our AI models from ingestion and storage to processing and management
Lead and Inspire Provide technical leadership and mentorship to crossfunctional teams fostering a culture of excellence and best practices in AI infrastructure
Solve Complex Challenges Diagnose and resolve intricate infrastructure issues ensuring the high availability and reliability of all our AI systems
Stay Ahead of the Curve Keep your finger on the pulse of the latest advancements in AI machine learning and cloud computing driving innovation within the organization
Document for Success Create and maintain comprehensive documentation for all AI infrastructure designs implementations and operational procedures
What Youll Bring
Education A Bachelors or Masters degree in Computer Science Engineering or a related field
Experience 8 years of experience in infrastructure architecture
A minimum of 3-5 years of dedicated experience in designing and building AIspecific infrastructure
Proven success in deploying scalable and secure AI solutions in cloud environments
Extensive handson experience with containerization and orchestration technologies like Docker and Kubernetes
Technical Prowess
Proficiency with the command line and experience with both cloudnative and onpremise data center deployments
A strong understanding of deep learning architectures and the latest developments in Large Language Models LLMs
Expertise in NVIDIA hardware and software including performance tuning and diagnostics
Handson experience with GPU systems including performance testing tuning and benchmarking
Proficiency in programming languages such as Python
A deep understanding of cloud service models IaaS PaaS SaaS and cloudnative architectures
Indepth knowledge of networking storage and security best practices in a cloud context
Experience with Infrastructure as Code IaC tools like Terraform or CloudFormation
Familiarity with DevOps and MLOps principles and practices
Soft Skills
Exceptional problemsolving and analytical abilities with a datadriven approach
Excellent communication and interpersonal skills capable of articulating complex technical concepts to diverse audiences
Proven ability to lead mentor and collaborate effectively within a team environment
A strategic mindset with the ability to align technical solutions with overarching business goals
A proactive adaptable and continuous learner who thrives in a dynamic technological landscape
Skills
Mandatory Skills : HPUX administration,Kubernetes,Nutanix,Solaris 10 and 11 administration,Azure Infra Services,VMWare ESXi,Windows Server,VMware-VxRail-HCI-Administration,AWS Infra Services,RedHat Linux Administrator,GCP Infra Services,AIX administration,RedHat OpenShift,Infrastructure Architecture,Dell EMC VxRail
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