Application Software Principal Engineering

**Advanced Machine Learning and Deep Learning Expertise**:- Extensive knowledge and hands-on experience with a wide range of advanced ML/DL algorithms, architectures, and techniques.- Proven track record of designing and deploying state-of-the-art ML/DL models for complex, real-world problems.- Expertise in developing novel ML/DL methods and contributing to the advancement of the field.**Comprehensive Software Engineering Mastery**:- Deep understanding of software design principles, architecture patterns, and development best practices.- Proficiency in multiple programming languages and ability to mentor junior engineers.- Experience in leading the design and implementation of large-scale, distributed software systems.**Data Engineering and Infrastructure Expertise**:- Extensive knowledge of big data technologies, data pipelines, and scalable data processing architectures.- Ability to design and optimize data ingestion, storage, and processing systems to support AI/ML workloads.- Experience in building and managing AI/ML platform infrastructure, including deployment and monitoring.**Domain Expertise and Business Acumen**:- Thorough understanding of the specific industry or business domain where the AI/ML solutions will be applied.- Ability to translate complex business problems into technical requirements and strategic AI/ML roadmaps.- Experience in collaborating with business stakeholders to align AI/ML initiatives with organizational goals.**Thought Leadership and Innovation**:- Ability to identify emerging trends, technologies, and best practices, and drive their adoption within the organization.- Track record of contributing to open-source projects, publishing research papers, or speaking at industry conferences.**Mentorship and Team Development**:- Demonstrated experience in leading and mentoring cross-functional teams of AI/ML and software engineers.- Ability to foster a culture of innovation, collaboration, and continuous learning.- Commitment to developing and nurturing the next generation of AI Transformation Engineers.**Strategic Vision and Execution**:- Capacity to develop and communicate a long-term strategic vision for the organization's AI/ML transformation.- Ability to align AI/ML initiatives with the organization's overall business objectives and technology roadmap.- Experience in driving the successful execution and implementation of complex, enterprise-level AI/ML projects.LI-POST