AI Specialty Staffing is recruiting, an AI Data Specialist Consultant for one of our Clients in the USA. This is a remote opportunity for a USA based AI Consultant. MUST be located in the USA and have authorization to work in the USA. Contract - initially 6 months, with extensions possible up to 18 months Pay rate - open based on experience and skill match to the below need The AI Data Specialist Consultant will lead the design, development, and deployment of innovative AI solutions to help our clients leverage the power of artificial intelligence across their business processes. You will work closely with our Client's cross-functional teams to design scalable AI architectures and integrate advanced machine learning models into business strategies. Your role is crucial in driving the adoption of AI technologies to transform our client business models and deliver cutting-edge solutions. This role requires a deep understanding of Machine Learning, Statistics, Data Science, Generative AI, Large Language Models (LLMs), and Multimodal models. The ideal candidate will be passionate about designing, building, implementing, and maintaining industrial AI/ML/Generative AI applications. Leadership skills are essential to implement the latest AI techniques and to continuously improve the AI/ML development, delivery, and operations process. The role involves adhering to best practices from Software Engineering, DevOps, MLOps, and LLMOps. The AI Data Specialist will also help with translating our Client's project requirements into strategic solutions, ensuring the integration of cloud-native tools from major hyperscalers and machine learning to create chatbots, optimizations, and cognitive services. This role requires a blend of technical expertise and the ability to bridge the gap between intricate business challenges and transformative AI solutions as well as strong people skills to work within our Client's AI Teams. Work you'll do: Strategic Alignment and Vision • Help define the AI/ML/GenAI technical direction and vision, ensuring alignment with strategic goals and digital transformation efforts. • Translate the vision of business leaders into realistic technical implementations, while identifying misaligned initiatives and impractical use cases Architectural Design • Design end-to-end AI architectures, from data ingestion to model deployment, integrating with cloud and on-premises systems. Collaboration and Stakeholder Engagement • Collaborate with our Client's Enterprise, Application, Data & DevOps teams, Data scientists, Machine Learning & GenAI Engineers, and Business teams to pilot use cases and discuss best design. • Gather inputs from multiple stakeholders to align technical implementation with existing and future requirements. Consulting & Advisory • Serve as a technical advisor to our Client's leadership, providing insights on AI trends, potential business impacts, and implementation best practices. Risk Management and Ethical Considerations • Work closely with security and risk leaders to foresee and mitigate risks, ensuring ethical AI implementation and compliance with upcoming regulations. • Address potential issues such as training data poisoning, AI model theft, and adversarial samples. Product Strategy and Business Understanding • Help AI product managers and business stakeholders understand the potential and limitations of AI when planning new projects. • Break down client problems and bring an understanding of leading technology, analytics methods, tools, and operating model approaches. Tool Development and Data Management • Build tools and capabilities that assist with data ingestion, feature engineering, data management, and organization. • Design, implement, and maintain distributed computing solutions for data processing and model training, ensuring the security, scalability, and reliability of machine learning infrastructure. Required Qualifications: • Bachelor's Degree in any of Computer Science, Statistics, Data Science or a related field. • 6+ years of related consulting experience • 6+ years of experience gathering non-functional requirements, performing designed and validated application architecture frameworks, and executing functional and testing assignments. • 5+ years of experience working in an AI environment. • 5+ years of experience translating requirements into client ready design documents. • 5+ years of experience with application architecture analysis, design, and delivery • 5+ years of full system development life cycle implementations • Ability to travel 0-25%, on average, based on the work you do and the clients and industries/sectors you serve. Preferred Qualifications: • Advanced degrees such as Masters or PhD are preferred • Certifications in AI/ML technologies and Cloud platforms, such as AWS Certified Machine Learning - Specialty, Google Cloud Professional Machine Learning Engineer, Azure AI Engineer, Azure Data Scientist, or Azure Solutions Architect • 5 + years of experience in Data Science, Statistics, and Machine Learning • 5+ years of experience in Generative AI/LLMs, preferably experienced in delivering and productionizing • 5+ years of experience in machine learning model development, natural language processing, and data analysis; Experienced in Supervised and Unsupervised learning, feature engineering, model training, and deployment • 5+ year of experience in implementing cloud-based AI/ML workloads on any of AWS, Microsoft and Azure.