Lead Consultant, AI Specialist

Role Overview: As an AI Specialist, you will play a crucial role in transforming enterprise operations by implementing intelligent automation and data-driven decision-making. Your efforts will directly impact the utilization of AI to enhance efficiencies, elevate strategic insights, and generate scalable value across ERP systems. By fostering innovation and promoting continuous improvement, you will contribute to shaping an organization that is prepared for the future, embraces change, and thrives on technological advancements. Key Responsibilities: - Collaborate with cross-functional teams to identify operational challenges and discover high-impact AI opportunities aligned with business objectives. - Brainstorm and prioritize AI use cases within Finance, Supply Chain, Sales, and other areas to optimize ERP performance and decision-making processes. - Lead proof-of-concept (PoC) projects to validate AI solutions, assess outcomes, and refine implementation strategies. - Evaluate the technical feasibility of AI solutions within the existing ERP infrastructure, ensuring scalability, security, and long-term viability. - Develop a comprehensive AI adoption framework encompassing governance, data strategy, and integration pathways tailored to ERP systems. - Translate intricate technical insights into practical business recommendations for senior leadership. - Stay abreast of emerging AI trends and technologies, continuously exploring their relevance to enterprise transformation. Qualifications Required: - 10+ years of IT experience, with a minimum of 3 years dedicated to AI/ML development and deployment. - Profound knowledge of supervised, unsupervised, and deep learning techniques. - Proficiency in Python, cloud platforms (Azure/AWS/GCP), and integration tools. - Expertise in Prompt Engineering for LLMs, Context Engineering, and Retrieval-Augmented Generation (RAG). - Sound understanding of MLOps practices, including CI/CD, model monitoring, and versioning. - Familiarity with data pipelines, APIs, and system integration. - Experience in NLP, object detection, and deep learning frameworks. - Awareness of AI governance, ethics, and compliance. If this role resonates with you and you are eager to contribute to impactful projects that shape the future of enterprise AI adoption, we encourage you to apply and explore how your career can progress with us.,