Lead Functional Consultant, PS (AI/ML implementation) Icertis

5.0 - 9.0 years

0 Lacs

pune, maharashtra

On-site

Lead the planning, design, and execution of Applied GenAI projects, aligning them with business objectives and technical requirements. Collaborate with cross-functional teams including engineers, data scientists, and business stakeholders to deliver impactful GenAI solutions. Provide technical leadership and mentorship, fostering a culture of innovation and continuous improvement. Conduct thorough assessments of client needs to design tailored GenAI strategies addressing specific business challenges. Configure GenAI models using prompt engineering, keyword tuning, rules, preferences, and weightages for customer-specific datasets. Oversee deployment and integration of GenAI models into production environments, ensuring scalability, reliability, and performance. Demonstrate strong troubleshooting abilities using tools such as SQL, Kibana Logs, and Azure AppInsights. Monitor solution performance and provide data-driven recommendations for enhancements and optimization. Stay current with the latest GenAI advancements, incorporating best practices into implementation. Prepare and present reports, documentation, and demos to clients and senior leadership, showcasing progress and insights. Conduct GenAI proof-of-concepts and demonstrations exploring the art of the possible in AI applications. Qualifications Bachelors or Masters degree in Computer Science, Engineering, or a related field. Extensive experience in AI/ML with a focus on Generative AI technologies. Proven success in leading and delivering complex AI projects. Strong understanding of GenAI frameworks, tools, and methodologies. Excellent problem-solving, strategic thinking, and project management skills. Exceptional communication and collaboration abilities with diverse teams and stakeholders. Experience with cloud platforms and AI deployments in cloud environments (Azure preferred). Preferred Skills Hands-on experience with GenAI-based products and prompt engineering. Proficiency in text analytics/NLP, including machine learning techniques and algorithms. Skilled in text mining, parsing, and classification using state-of-the-art techniques. Expertise in the Microsoft technology stack. Good knowledge of client-side scripting: JavaScript and jQuery. Understanding of ethical AI principles and best practices in implementation. Proficiency in Python, R, Java, and Regex expressions. Experience using requirement management tools like TFS. Strong verbal and written communication skills with the ability to influence peers and leadership.,

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