Overview
On Site
96.06/hr} - 108.24/hr}
Full Time
Skills
Financial services
Finance
Python
Big data
Apache Hadoop
Linux
Machine Learning Operations (ML Ops)
Terraform
Ansible
PySpark
VMware
Virtualization
Database
Communication
Articulate
Management
Design
CPU
GPU
Natural language processing
Storage
Network design
Grid computing
Generative Artificial Intelligence (AI)
Google Cloud Platform
Google Cloud
Vertex
Artificial intelligence
Microsoft Azure
Machine Learning (ML)
Research
Roadmaps
Strategy
Computer hardware
Capacity management
FOCUS
Scalability
Cloud computing
Job Details
Outstanding long-term contract opportunity! A well-known Financial Services Company is looking for a Production Platform Engineer in Charlotte, NC (Hybrid).
Work with the brightest minds at one of the largest financial institutions in the world. This is long-term contract opportunity that includes a competitive benefit package! Our client has been around for over 150 years and is continuously innovating in today's digital age. If you want to work for a company that is not only a household name, but also truly cares about satisfying customers' financial needs and helping people succeed financially, apply today.
Contract Duration: 12 Months
Required Skills & Experience
What You Will Be Doing
Work with the brightest minds at one of the largest financial institutions in the world. This is long-term contract opportunity that includes a competitive benefit package! Our client has been around for over 150 years and is continuously innovating in today's digital age. If you want to work for a company that is not only a household name, but also truly cares about satisfying customers' financial needs and helping people succeed financially, apply today.
Contract Duration: 12 Months
Required Skills & Experience
- 5+ years of Python experience
- 5+ years of big data experience needed (Big Query, Hadoop)
- 5+ years with Linux O/S capabilities
- 3 years of experience in AIML area (MLOps)
- 3 + years of supporting cloud infrastructures (Google Cloud Platform/Azure) as well as some experience building complex infrastructure programmatically with IaC tools (Terraform/Ansible etc.)
- 3+ years of Pyspark experience
- 3+ years with VMWare Virtualization technologies
- Working knowledge of Auto ML technologies such as H2O Driverless AI, DataRobot, VertexAI, Elastic and Vector DB
- Excellent verbal, written, and interpersonal communication skills.
- Ability to articulate technical solutions to both technical and business audiences.
- Recent and demonstrated ability to influence management on technical or business solutions.
- Working knowledge of design and build grid computing with CPU and GPU supporting AIML and NLP
- Working knowledge of high-performance storage technologies along with Object Storage
- Knowledge and understanding of network infrastructure to support high throughput and low latency grid computing.
What You Will Be Doing
- Participate in developing Generative AI Platform Capabilities
- Responsible for AI model delivery to on-prem infrastructure and cloud platforms (Google Cloud Platform-Vertex AI, Azure ML)
- Participate in day-to-day standups for platform capability builds.
- Research industry best practices, evaluate new technologies, develop standards and engineering best practices and recommend innovative solutions that support automation and improve platform resiliency and fault tolerance of critical applications.
- Execute on roadmaps that align with technology and business strategy.
- Perform hardware and capacity planning, analysis, and forecasts for your portfolio of applications with focus on highest availability, scalability, performance, and timely delivery.
- Act as an expert resource for other technical teams within DTI
- Support of all on-prem Production infrastructure and cloud platforms including support of end users.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.