AI/ML Lead-Architect (W2 /FT Employee)

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Charlotte, NC
1-3 Years Experience
Artificial Intelligence • Cloud • Database • Analytics
The Role

AI-ML Platform Lead/Architect

Charlotte, NC (Hybrid 3 Days a Week)

W2/Full Time Only

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 collaborate with business stakeholders, data scientists, engineering teams, product, and other key partners to gather functional, non-functional requirements for solving AI use cases on the AI Platform
  •  Evaluate emerging technologies and tools in the 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, Scikit-Learn).
  •  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 AI-ML contexts.
  • Excellent problem-solving skills and ability to address complex technical challenges.
  • Effective communication skills to collaborate with cross-functional teams and stakeholders.


Benefits:-
Actual compensation is influenced by years of experience, specialized skill sets, and unique qualifications
Ccube provides various benefits such as subsidized medical, dental, vision Insurance

 

The Company
Cupertino, California
9 Employees
Hybrid Workplace
Year Founded: 2022

What We Do

Driving Innovation through Advanced Data and AI Services.

We offer next-level data and AI services to help you transform your data into actionable insights for a competitive edge.

To augment your teams, we offer full-time/contract resources & consulting, design and development services for turnkey projects in the following areas:

01 DATA MODERNIZATION
Define Cloud strategy, architecture & roadmap
Identify current landscape & catalog data sources
Data warehouse design & setup
Develop data governance & data quality framework
Implement data management technologies
Build data analytics capabilities
Inculcate data driven culture
A future-ready framework to serve all business use cases

02 DATA INTEGRATION & CLOUD MIGRATION
Design & develop
Optimized data models and data pipelines
ETL/ELT workloads & monitoring
Processes that scale up and down without performance problems
Automate data migration between upstream/downstream (on-prem) systems and Cloud

03 DATA ANALYTICS & AI
Data analytics consulting – use-case exploration and building analytics roadmap
Data preparation and creating a single version of truth
Dashboard & report development
AI/ML model selection and development
AI/ML model tuning and validation
AI/ML model scaling, integration and deployment

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