AI/ML Tech Lead

1. Lead and manage a team of AI-ML engineers, data scientists, and analysts in the development and deployment of AI-ML solutions. 2. Collaborate with stakeholders to understand business needs, identify opportunities, and define AI-ML project goals and objectives. 3. Design and implement AI-ML strategies and roadmaps that align with business objectives and technology capabilities. 4. Conduct research and stay updated with the latest AI-ML technologies, trends, and best practices to drive innovation and maintain a competitive edge. 5. Oversee the end-to-end AI-ML project lifecycle, including data acquisition, preprocessing, feature engineering, model development, validation, deployment, and monitoring. 6. Ensure the development and deployment of scalable, robust, and high-performance AI-ML solutions that meet quality standards and regulatory requirements. 7. Provide technical guidance and mentorship to the AI-ML team members, fostering their professional growth and knowledge acquisition. 8. Collaborate with cross-functional teams, including software development, data engineering, and product management, to integrate AI-ML solutions into existing systems and workflows. 9. Conduct regular performance assessments, provide feedback, and identify training needs to enhance the capabilities of the AI-ML team. 10. Stay abreast of industry advancements and promote a culture of continuous learning and improvement within the AI-ML team.