AI Infrastructure Engineer

About LTIMindtree

LTIMindtree is a global technology consulting and digital solutions company that enables enterprises to reimagine business models and accelerate innovation through digital technologies. Powered by more than 84,000 entrepreneurial professionals across more than 30 countries, LTIMindtree caters to over 700 clients. We are a Larsen & Toubro Group company with the combined strength of erstwhile Larsen and Toubro Infotech and Mindtree.

Client : LTIMINDTREE

Job Type : Contract

Role : AI Infrastructure Engineer

Experience : 15+ Years

Relevant Experience : 10+ year

Work Location : Pan INDIA

Payroll on : People Prime World Wide

Notice : Immediate and 15 days

Job Description : What You’ll Do

• Architect the Future : Lead the end-to-end design and development of our AI infrastructure, encompassing hardware, software, networking, and multi-cloud environments
• Innovate and Evaluate : Assess, select, and implement the best-in-class technologies, tools, and frameworks (e.g., TensorFlow, PyTorch, Kubernetes, Docker) to build and maintain our AI platforms.
• Optimize for Performance : Engineer and implement infrastructure that scales seamlessly with our evolving AI / ML needs, continuously monitoring and optimizing for both performance and cost-efficiency.
• 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 Data-Driven 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 cross-functional 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 You’ll Bring

Education : A Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.

Experience :

Technical Prowess :

Soft Skills :