- Oversee the end-to-end lifecycle of AI application development, from ideation to deployment, ensuring solutions are aligned with business goals.
- Guide the integration of AI models and algorithms into production systems, ensuring they meet high-quality standards.
- Collaborate with business stakeholders to understand use cases, define AI strategies, and translate business requirements into technical solutions.
- Leverage state-of-the-art AI methodologies, including machine learning, deep learning, and NLP, to address complex challenges.
Project Delivery & Execution:
- Manage the delivery of AI projects, ensuring they are executed on time, within scope, and according to best practices in software engineering.
- Implement agile methodologies, CI/CD pipelines, and DevOps practices to streamline project development and delivery.
- Lead the architecture, design, and scaling of AI solutions that are efficient, scalable, and secure.
- Monitor project timelines, resource allocation, and risks, ensuring successful delivery and alignment with business needs.
Cross-Functional Collaboration:
- Work closely with product managers, business analysts, and other stakeholders to ensure AI solutions address key business needs and drive value.
- Partner with IT infrastructure, data engineering, and other technical teams to ensure seamless integration of AI applications within the broader tech ecosystem.
- Regularly update senior leadership and stakeholders on project progress, challenges, and achievements.
Team Leadership & Development:
- Lead and mentor a diverse team of AI engineers, data scientists, and software developers, fostering a team-oriented and high-performance culture.
- Provide guidance on career development, performance management, and personal growth for team members.
- Cultivate a strong, innovation-driven environment with an emphasis on continuous learning and knowledge sharing.
- Scale and grow the AI engineering team in alignment with project and organizationa
📌 SVP Product Engineering (Pune)
🏢 EXL
📍 Pune