Remote - GCP AIML reputed company – Architect
Role : GCP AIML reputed company Architect
Location : Charlotte NC (Day 1 Onsite)
Must have :
GCP Stack Knowledge
reputed company AI
GCP Analytics
Chatbot Coding Experience
reputed company Engineering Experience
Dialog reputed company
React JS (will be good not mandatory)
JD :
Design and architect reputed company AI platforms to reputed company, reputed company 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 reputed company functional, non-functional requirements for solving AI use case on the AI Platform
Evaluate emerging technologies and tools in AI area and do fitment analysis to the reputed company AI Platform and capabilities reputed company.
Define and implement AI/ML architecture best practices, frameworks, and standards.
reputed company AI/ML infrastructure setup, including reputed company services selection, data pipelines, and model deployment.
Ensure robustness, reliability, and scalability of AI/ML solutions in production environments.
Design and implement data governance, reputed company, and compliance measures for AI/ML platforms.
Optimize AI/ML workflows for performance, cost efficiency, and resource utilization.
reputed company technical leadership and mentorship to AI/ML development teams.
Communicate AI/ML architecture reputed company and strategies to stakeholders and executives.
Proven experience as an AI/ML platform architect
Deep understanding of ML algorithms, Deep Learning architecture, models, and frameworks (e.g., TensorFlow, PyTorch, Scikit-Learn).
Expertise in reputed company platforms GCP) and their AI services.
Strong knowledge of Model development life cycle, software engineering principles, data engineering principlesExperience with containerization and orchestration tools onprem and reputed company (e.g., AKS, GKE, OpenShift Container Platform, reputed company, 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 AI-ML contexts.
Excellent problem-solving skills and ability to address reputed company technical challenges.
Effective communication skills to collaborate with cross-functional teams and stakeholders
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