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Job Title: ML Enigneer
Location: Bentonville, AR
Duration: 8+ months
Term: Contract
Job Description:
Experience Desired: 7+ Years.
Qualification:
- Work with client's AI/ML Platform Enablement team within the eCommerce Analytics team. The broader team is currently on a transformation path, and this role will be instrumental in enabling the broader team's vision.
- Work closely with data scientists to help with production models and maintain them in production.
- Deploy and configure Kubernetes components for production cluster, including API Gateway, Ingress, Model Serving, Logging, Monitoring, Cron Jobs, etc. Improve the model deployment process for MLE for faster builds and simplified workflows
- Be a technical leader on various projects across platforms and a hands-on contributor of the entire platform's architecture
- System administration, security compliance, and internal tech audits
- Responsible for leading operational excellence initiatives in the AI/ML space which includes efficient use of resources, identifying optimization opportunities, forecasting capacity, etc.
- Design and implement different flavors of architecture to deliver better system performance and resiliency.
- Develop capability requirements and transition plan for the next generation of AI/ML enablement technology, tools, and processes to enable client to efficiently improve performance with scale.
Tools/Skills (hands-on experience is must):
- Administering Kubernetes. Ability to create, maintain, scale, and debug production Kubernetes clusters as a Kubernetes administrator and In-depth knowledge of Docker.
- Ability to transform designs ground up and lead innovation in system design
- Deep understanding of data center architectures, networking, storage solutions, and scale system performance
- Have worked on at least one Kubernetes cloud offering (EKS/GKE/AKS) or on-prem Kubernetes (native Kubernetes, Gravity, MetalK8s)
- Programming experience in Python, Node, Golang, or bash
- Ability to use observability tools (Splunk, Prometheus, and Grafana ) to look at logs and metrics to diagnose issues within the system.
- Experience with Seldon core, MLFlow, Istio, Jaeger, Ambassador, Triton, PyTorch, Tensorflow/TFserving is a plus.
- Experience with distributed computing and deep learning technologies such as Apache MXNet, CUDA, cuDNN, TensorRT
- Experience hardening a production-level Kubernetes environment (memory/CPU/GPU limits, node taints, annotations/labels, etc.)
- Experience with Kubernetes cluster networking and Linux host networking
- Experience scaling infrastructure to support high-throughput data-intensive applications
- Background with automation and monitoring platforms, MLOps ,and configuration management platforms
- Education & Experience: -
- 5+ years relevant experience in roles with responsibility over data platforms and data operations dealing with large volumes of data in cloud based distributed computing environments.
- Graduate degree preferred in a quantitative discipline (e.g., computer engineering, computer science, economics, math, operations research).
- Proven ability to solve enterprise level data operations problems at scale which require cross-functional collaboration for solution development, implementation, and adoption.
Key Skills:
AI/ML, Kubernetes,Python, Tensorflow, MLFlow.
VDart Group, a global leader in technology, product, and talent management, empowers businesses with comprehensive solutions through our four distinct, industry-leading business units. With a diverse team of over 4,000 professionals across 13 countries, we deliver strong results across various industries, including Fortune 500 companies.
Leveraging our deep expertise as a global provider of resources and solutions, we serve a wide range of industry verticals, including BFSI, Automotive, Healthcare, Mobility, Energy, Life Sciences, Manufacturing, Consumer Industries, and Technology.
With over 16 years of experience, VDart has evolved to meet the needs of leading technology brands, placing and training more than 20,000 professionals and shaping the industry's future.
Our continuous reinvention, providing resources for IT solutions and unique digital solutions, has positioned us as a top growth leader in digital talent management and technology consulting.
Committed to "People, Purpose, Planet," we prioritize social responsibility and sustainability, as evidenced by our EcoVadis Bronze Medal Certification and participation in the UN Global Compact.
Our dedication to delivering strong results has earned us recognition as a trusted advisor for businesses seeking to drive innovation and growth, including many Fortune 500 companies.
Join our network! Partner with VDart Group to leverage our global network, industry expertise, and proven track record with a diverse clientele.
