Responsibilities

• Build, lead and grow a cross-functional team of various engineering fields to deliver AI powered applications.
• Be responsible for the successful execution of one or more AI powered applications using agile methodology.
• Understand and break down client problems, bringing an understanding of leading technology, analytics methods, tools, and operating model approaches
• Conduct research to provide technical solutions at scale for real-world challenges in various scenarios
• Help AI product managers and business stakeholders understand the potential and limitations of AI when planning new products
• Work closely with product counterpart, taking accountability to deliver on the product strategy.
• Helps team make appropriate trade-offs based on quality, scalability, performance, and cost aligned with the team’s tech strategy.
• Advocate and advance modern, agile software development practices.
• Continuously evaluate relevant technologies, influence architecture and design discussion.
• Work closely with the engineers to architect and develop the best technical design and approach.
• Report on the status of development, quality, operations, and system performance to management.
• Hold the team to a high standard of code quality, unit testing, architecture, tech debt management, and code security, etc.

Requirements and Skills

• 12+ years of experience of developing, hosting, and maintaining large scale distributed applications.
• 3+ years of experience in AI enabled application development.
• 2+ years in a people management role. Having experience of building and managing an AI engineering team is must.
• Demonstrated experience in working on AI technologies e.g.: NLP, Virtual Agent, Conversational AI, NLU, NLG, forecasting, prediction, etc.
• In-depth understanding and modeling experience in supervised, unsupervised, reinforcement and deep learning models; hands-on knowledge of data wrangling, data cleaning/ preparation, dimensionality reduction is a must.
• Knowledge of vector algebra, statistical and probabilistic modelling is highly desirable.
• Being hands-on is a must for this role. 
• Understanding and ability to implement best-of-the-breed software engineering practices.
• Must be adept at experimenting with new technologies, quick prototyping, and ability to define overall approach to drive project delivery.
• Good Analytical skills.
• Strong verbal & written communication: should be able to articulate concisely & clearly.
• Exposure to public cloud example AWS, Azure or Google is must.