Job description
You' re interested by solving real world problems with AI ? Join us for a sustainable, digital new electric world !
Harness the power of data and artificial intelligence to accelerate change. Come and work with a smart team of data scientists, data engineers, and experts in machine learning.
Schneider AI Hub team is a global organization led by the Chief AI officer. AI Hub organization has a mandate to spearhead the AI-driven digital transformation of Schneider Electric.
As part of this AI Hub organization, we seek hire a Data Engineering Manager for the AI Solutions team in charge of the projects delivery, who is passionate about solving complex business & technical problems by applying best in engineering practices. You should be able to manage engineering teams with end-to-end accountability in a DevOps model which includes architecture, solutions, design, development, test, deployment, automated pipelines, automated testing, maintenance in production, metrics measurement, and tracking. You should be able to manage a team of up to 15 engineers. This is role need a combination of product engineering and people management (approximate 70-30 ratio)
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.
Qualifications
- 15+ years of experience of developing, hosting, and maintaining large scale distributed applications.
- 5+ years of experience in AI enabled application development.
- 3+ 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 i s 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.
