Job
Description
Delivery Lead will be responsible for overseeing the end-to-end delivery of AI products, ensuring they meet client needs, timelines, and quality standards. The ideal candidate will possess a strong blend of AI/ML expertise, project management experience, and the ability to lead cross-functional teams in a fast-paced environment. Key Responsibilities AI and Machine Learning Expertise: Lead the delivery of AI-based products, ensuring alignment with the latest machine learning models, algorithms, and frameworks. Project Management: Manage the full lifecycle of AI product delivery, including timelines, resources, budgets, and risk management, using Agile or Scrum methodologies. Stakeholder Engagement: Collaborate with internal and external stakeholders (e.g., clients, product managers, data scientists) to ensure successful project delivery, aligning on scope, milestones, and expectations. Risk Management: Proactively identify and manage risks related to data, technology, and team performance, implementing mitigation strategies to ensure project success. Data Management & Governance: Ensure that data privacy, security, quality, and governance standards are followed throughout the lifecycle of AI products. Team Leadership: Lead cross-functional teams consisting of data scientists, engineers, and business analysts, driving alignment and fostering collaboration towards achieving project goals. Cloud and Deployment Expertise: Oversee the deployment of AI models and products on cloud platforms (e.g., AWS, Azure, Google Cloud), ensuring scalability, reliability, and cost-effectiveness. Effective Communication: Clearly articulate the technical aspects of AI projects to non-technical stakeholders, creating detailed reports, presentations, and regular updates to ensure transparency and alignment. Quality Assurance: Ensure the delivery of high-quality AI products by overseeing testing, validation, and performance monitoring processes to guarantee that models meet defined standards and requirements. Continuous Learning: Stay up-to-date with emerging trends in AI and machine learning, adapting the team’s approach to incorporate new tools, technologies, and best practices. Show more Show less
