Title: Gen AI Engineer Location: Charlotte, NC Duration: 6 months Work Engagement: W2 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. • Familiarity with using diffusion models or multimodal AI depending on the use cases. • 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. • Establish a consistent and collaborative framework with the business and act as a primary point of contact in delivering the solutions. • 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. • Prepare detailed documentations for projects for both internal and external use that comply with regulatory and internal audit requirements. 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 (e.g., MLflow, Kubeflow) for scaling and deploying models in production. • Experience working with on Google Cloud Platform and expertise in using the GCP services. • Expertise 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. • Critical thinking and strong problem-solving skills. • Ability to learn the latest technologies and keep up with the trends in the Gen-AI space and apply to the business problems quickly. • Ability to multi-task and prioritize between projects and able to work independently and as part of a team. • Required to work individually or as part of a team on multiple AI and Generative AI projects and work closely with business partners across the organization. • Provide analytical support for developing, evaluating, implementing, monitoring, and executing models across business verticals using emerging technologies. • Expert knowledge on working on large datasets using SQL or NoSQL and present conclusions to key stakeholders. • Experience in building quick prototypes to check feasibility and value to business. • Expert in developing and maintaining modular codebase for reusability. • Strong understanding of Agile methodologies and enterprise software development. • Excellent communication and stakeholder management skills.