AIML tech lead

AIML Platform Tech Lead & Arch
Location: Concord CA/SFO/ Charlotte NC


Key Responsibilities:

Design and architect scalable AI platforms to develop deploy AI solutions leveraging ML techniques and Deep Learning Techniques.

Drive Joint Architecture Design to collaborating with business stakeholders data scientists engineering teams product and other key partners to gather functional nonfunctional requirements for solving AI use case on the AI Platform

Evaluate emerging technologies and tools in AI area and do fitment analysis to the Enterprise AI Platform and capabilities strategy.

Define and implement AI/ML architecture best practices frameworks and standards.

Lead AI/ML infrastructure setup including cloud services selection data pipelines and model deployment.

Ensure robustness reliability and scalability of AI/ML solutions in production environments.

Design and implement data governance security and compliance measures for AI/ML platforms.

Optimize AI/ML workflows for performance cost efficiency and resource utilization.

Provide technical leadership and mentorship to AI/ML development teams.

Communicate AI/ML architecture decisions and strategies to stakeholders and executives.



Key Requirements:



Proven experience as an AI/ML platform architect

Deep understanding of ML algorithms Deep Learning architechture models and frameworks (e.g. TensorFlow PyTorch ScikitLearn).

Expertise in cloud platforms (e.g. GCP Azure) and their AI services.

Strong knowledge of Model development life cycle software engineering principles data engineering principles

Experience with containerization and orchestration tools onprem and cloud (e.g. AKS GKE OpenShift Container Platform Docker Kubernetes) for deploying AI/ML models.

Ability to design and optimize distributed computing systems for AI/ML workloads.

Familiarity with DevOps practices CI/CD pipelines and automation tools in AIML contexts.

Excellent problemsolving skills and ability to address complex technical challenges.

Effective communication skills to collaborate with crossfunctional teams and stakeholders.

KUBERNETES , DEEP LEARNING , ML , DOCKER , TENSORFLOW , PYTORCH