What are the responsibilities and job description for the Google Cloud Platform Data Engineer position at Motion Recruitment Partners, LLC?
Outstanding long-term contract opportunity! A well-known Financial Services Company is looking for a Google Cloud Platform Data Engineer in Charlotte, NC (Hybrid).
Work with the brightest minds at one of the largest financial institutions in the world. This is a 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
Work with the brightest minds at one of the largest financial institutions in the world. This is a 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 Software Engineering experience, or equivalent demonstrated through one or a combination of the following: work or consulting experience, training, military experience, education.
- 5 years of Specialty Software Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
- Strong proficiency in Python and AI/ML frameworks (PyTorch, TensorFlow).
- Hands on experience using session and memory for building multi-agent systems along with using MCP tools.
- Hands-on experience with LLMs, transformers, and Hugging Face ecosystem.
- Knowledge and experience with vector databases and RAG technique for semantic search.
- Familiarity with cloud AI services (AWS SageMaker, Azure OpenAI, Google Cloud Platform Vertex AI).
- Understanding of MLOps practices for scalable AI deployment.
- Consult on complex initiatives with broad impact and large-scale planning for Software Engineering.
- Review and analyze complex multi-faceted, larger scale or longer-term Software Engineering challenges that require in-depth evaluation of multiple factors including intangibles or unprecedented factors.
- Contribute to the resolution of complex and multi-faceted situations requiring solid understanding of the function, policies, procedures, and compliance requirements that meet deliverables.
- Strategically collaborate and consult with client personnel.
- Design and implement Generative AI models for text, image, or multimodal applications.
- Develop prompt engineering strategies and embedding-based retrieval systems.
- Integrate Gen AI capabilities into web applications and enterprise workflows.
- Build agentic AI applications with context engineering and MCP tools.
Salary : $63 - $71