Lead Architect for AI-ML Platforms
2 weeks ago
Location: Charlotte, NC (Onsite from Day 1)
Employment Type: Contract
Number of Openings: 1
About VLink: Established in 2006 and based in Connecticut, VLink has rapidly become a leader in digital technology services and consulting. Our innovative team is dedicated to addressing the most intricate business and IT challenges faced by our global clientele.
Key Responsibilities:
- Design and construct scalable AI platforms to create and implement AI solutions utilizing Client methodologies and Deep Learning Techniques.
- Facilitate Joint Architecture Design by collaborating with business stakeholders, data scientists, engineering teams, product managers, and other essential partners to collect functional and non-functional requirements for AI use cases on the AI Platform.
- Assess emerging technologies and tools in the AI domain and conduct fitment analysis to align with the Enterprise AI Platform and capabilities strategy.
- Establish and enforce best practices, frameworks, and standards for AI/Client architecture.
- Oversee the setup of AI/Client infrastructure, including the selection of cloud services, data pipelines, and model deployment.
- Guarantee the robustness, reliability, and scalability of AI/Client solutions in production settings.
- Develop and implement data governance, security, and compliance protocols for AI/Client platforms.
- Enhance AI/Client workflows for performance, cost-effectiveness, and resource optimization.
- Provide technical guidance and mentorship to AI/Client development teams.
- Articulate AI/Client architecture decisions and strategies to stakeholders and executives.
- Demonstrated experience as an AI/Client platform architect.
- In-depth knowledge of Client algorithms, Deep Learning architectures, models, and frameworks (e.g., TensorFlow, PyTorch, Scikit-Learn).
- Proficiency in cloud platforms (e.g., GCP, Azure) and their AI services.
- Strong understanding of the model development lifecycle, software engineering principles, and data engineering principles.
- Experience with containerization and orchestration tools both on-premises and in the cloud (e.g., AKS, GKE, OpenShift Container Platform, Docker, Kubernetes) for deploying AI/Client models.
- Capability to design and optimize distributed computing systems for AI/Client workloads.
- Familiarity with DevOps practices, CI/CD pipelines, and automation tools in AI-Client contexts.
- Exceptional problem-solving abilities to tackle complex technical challenges.
- Strong communication skills for effective collaboration with cross-functional teams and stakeholders.
EEO, ADA, FMLA Compliant
VLink is an equal-opportunity employer. We are committed to fostering diversity, multiculturalism, and inclusion. VLink does not discriminate based on race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law. All employment decisions, including hiring, promotion, or termination, will be based on qualifications, merit, performance, and business needs.
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