Hot Opening FLEX AI -AI ML Architect : Bangalore(onsite): MNC(tier-1)

Key Responsibilities:

• Design and implement scalable AI/ML architectures for training, fine-tuning, and deploying foundational models.
• Understand customer profiles, workloads, and compliance requirements to identify bottlenecks and drive optimizations.
• Deploy infrastructure across hyperscalers (AWS, Azure, GCP), neoclouds (e.g., Sesterce), and on-prem environments.
• Optimize cost-performance trade-offs across multi-architecture setups including NVIDIA, AMD, Tenstorrent, and other AI accelerators.
• Enhance workload performance using frameworks such as PyTorch, TensorFlow, JAX, Ray, Hugging Face, and Triton.
• Implement automated deployment workflows using Kubernetes, Terraform, Helm, Docker, and CI/CD pipelines.
• Lead architectural workshops, deep dives, and technical discussions to accelerate AI adoption.
• Translate complex AI architectures into clear business outcomes for stakeholders.
• Collaborate with cross-functional teams to align infrastructure and AI strategy with product goals.

Mandatory Skills and Skill Proficiencies Required for This Position:

• AI/ML Frameworks

  Advanced proficiency in PyTorch, TensorFlow, JAX, Ray, Hugging Face, Triton.

• Infrastructure Deployment

  – Expertise in deploying across AWS, Azure, GCP, Sesterce, and on-prem environments.

• AI Accelerators

  – Strong understanding of NVIDIA, AMD, Tenstorrent, and other hardware architectures.

• Containerization & Automation

  – Proficiency in Kubernetes, Terraform, Helm, Docker, and CI/CD workflows.

• Enterprise Architecture

  – Ability to design scalable, secure, and compliant AI systems for production use.

Optional Skills and Skill Proficiencies for This Position:

• Customer Engagement

  – Experience acting as a technical advisor to executives and engineering teams.

• Systems Optimization

  – Background in performance tuning and resource orchestration.

• Startup Experience

  – Ability to thrive in fast-paced, evolving environments.

• Compliance & Security

  – Familiarity with regulatory requirements and secure AI deployment practices