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AI Lead Engineer (AI/ML + GCP + Vertex AI) || Charlotte, NC at Charlotte, North Carolina, USA
Email: [email protected]
Note - Need ID copy, passport copy and visa copy while submission.

Candidate must have linkedin profile and should be able to share.

Position 1 : AI Lead Engineer (AI/ML + GCP + Vertex AI)

Location: Charlotte, NC

Rate : $70/hr on C2C

Note - Need ID copy, passport copy and visa copy while submission.

Candidate must have linkedin profile and should be able to share.

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, 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 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.

Position 2 : AI Program Manager

Location: San Francisco, CA

Rate: $75/hr on C2C

Note - Need ID copy, passport copy and visa copy while submission.

Candidate must have linkedin profile and should be able to share.

Key Responsibilities:

Manage delivery of AIML and GenAI workstreams across infrastructure, Cloud and foundational capabilities

Lead, document, and communicate work progress, issues, risks, escalating appropriately when needed and proactively identifying path forward for delivery teams

Consolidate and communicate status updates and program summaries via presentations, emails, and direct communications as needed

Desired Qualifications:

10+ years of experience managing large-scale, strategic programs in global technology organization

Capable of managing, tracking and troubleshooting multiple initiatives and workstreams in a deadline-driven environment with cross-functional teams, geographically distributed resources, and vendors

Proven track record of solid planning, delivery and problem solving skills, with demonstrated bias for action, ownership and ability to see around corners

Excellent written and verbal communications, meeting facilitation, and presentation skills

Cloud and financial services experience a plus

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Keywords: continuous integration continuous deployment artificial intelligence machine learning information technology California Idaho North Carolina
AI Lead Engineer (AI/ML + GCP + Vertex AI) || Charlotte, NC
[email protected]
[email protected]
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Thu Aug 08 02:50:00 UTC 2024

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Location: Charlotte, North Carolina