Generative AI Engineer (contract)

Title**:** Generative AI Engineer

Location**:** Charlotte, NC

Work Engagement**:** W2

Work Schedule: Hybrid

Benefits on offer for this contract position: Health Insurance, Life insurance, 401K and Voluntary Benefits

Summary:

In this contingent resource assignment, you may: Consult on complex initiatives with broad impact and large-scale planning for Business Execution. Review and analyze complex multi-faceted, larger scale, or longer-term Business Execution 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.

Responsibilities:

• Lead complex initiatives including creation, implementation, documentation, validation, articulation, and defense of highly advanced AI and Generative AI solutions.
• Deliver solutions for short and long-term objectives and provide analytical support for a wide array of business initiatives.
• Utilize neural network architectures, including transformer-based models such as GPT, BERT, and others for driving operational efficiencies.
• Hands-on experience with fine-tuning, training, and deploying large language models (LLMs) in on-premises, cloud, or hybrid environments.
• Strong hold on tokenization, embeddings, and model evaluation metrics.
• Present results of analysis, solution recommendations and AI-driven strategies for variety of business initiatives.
• Review and validate models and help improve the performance of the model under the preview of regulatory requirements.
• Work closely with technology teams to deploy the models to production.

Qualifications:

• Applicants must be authorized to work for ANY employer in the U.S. This position is not eligible for visa sponsorship.
• Expertise in Python and key/major frameworks like TensorFlow, PyTorch, and HuggingFace.
• Proficiency in LangChain and LangGraph in building LLM powered applications using LangChain for integrating external data and tools, and LangGraph for designing stateful, workflows (leveraging GraphDB) to automate complex processes
• Experience in using ML Ops tools for scaling and deploying models in production.
• Experience working with on Google Cloud Platform
• Experience in Scala for processing large-scale data sets for use cases.
• Proficiency in Java, JavaScript (Node.js) for back-end integrations and for building interactive AI-based web applications or APIs.
• Experience with SQL and NoSQL languages for managing structured, unstructured, and semi-structured data for AI and Generative AI applications.
• Required to work on multiple AI and Generative AI projects and work closely with business partners across the organization.
• Experience in building quick prototypes to check feasibility and value to business.
• Expert in developing and maintaining modular codebase for reusability.