Engineer
Charlotte, NC
Hybrid
Contract
$96.06/hr - $108.24/hr
Outstanding long-term contract opportunity! A well-known Financial Services Company is looking for an 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 (GCP/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
- 1+year of experience in LLM , Generative AI (developing capabilities or dev/ops)
- Experience in developing of API on GCP/Azure/API Gateways
- 1+year of experience in Elastic Search, Vector Database, Run:AI, Model Development would be added benefit.
- Experience with large data technology (Hadoop, Teradata, Elasticsearch, etc.)
What You Will Be Doing
- Consult as an expert to develop or influence initiatives and resources for highly complex business and technical needs across Engineering.
- Consult on the strategy and resolution of highly complex and unique challenges requiring in-depth evaluation across multiple areas, delivering solutions that are long-term, large-scale and require vision, creativity, innovation, and advanced analytical and inductive thinking.
- Provide expertise to client senior leadership on innovative Engineering business solutions.
- Strategically engage with client personnel. ???????
You will receive the following benefits:
- Medical Insurance - Four medical plans to choose from for you and your family
- Dental & Orthodontia Benefits
- Vision Benefits
- Health Savings Account (HSA)
- Health and Dependent Care Flexible Spending Accounts
- Voluntary Life Insurance, Long-Term & Short-Term Disability Insurance
- Hospital Indemnity Insurance
- 401(k) including match with pre and post-tax options
- Paid Sick Time Leave
- Legal and Identity Protection Plans
- Pre-tax Commuter Benefit
- 529 College Saver Plan
Motion Recruitment Partners (MRP) is an Equal Opportunity Employer, including Veterans/Disability/Women. All applicants must be currently authorized to work on a full-time basis in the country for which they are applying, and no sponsorship is currently available. Employment is subject to the successful completion of a pre-employment screening. Accommodation will be provided in all parts of the hiring process as required under MRP’s Employment Accommodation policy. Applicants need to make their needs known in advance.