AI Engineering Manager

Key Skills

AI technology, Analytical and Problem solving, Analytical Techniques, AWS, Azure, Conversational AI, Data cleaning / Data cleansing, Data Wrangling, Deep Learning, Dimensionality reduction, Distributed systems, Forecasting, Google Cloud Platform (GCP), Natural language generation- NLG, Natural Language Processing (NLP), Natural Language Understanding-NLU, Probabilistic Graphical Models, Prototyping, Reinforcement Learning, Statistical modeling, Supervised learning, Unsupervised learning

Job Description

Schneider Electric’s purpose is to empower all to make the most of our energy and resources, bridging progress and sustainability for all. At Schneider, we call this Life Is On.

We are driving digital transformation by integrating the most advanced energy and automation technologies. We connect products, control platforms, software and services throughout the lifecycle of our customers' activities to the cloud for integrated management of residential housing, commercial buildings, data centers, infrastructures and industries.

At Schneider Electric, we are committed to solving real-world problems to create a sustainable, digitized, new electric future. Artificial Intelligence has the potential to transform industries and help unlock efficiency and sustainability.

Within our Global AI Hub we combine our long-standing manufacturing and domain expertise with cutting-edge innovation in AI, machine learning, and deep learning to empower smarter decision-making, agility, and decarbonization.

For the AI Solutions team in charge of the projects delivery, we are hiring a Senior Engineering Manager passionate about solving complex business & technical problems by applying best in engineering practices.

You will develop and manage an engineering team of 10/15 people (Data Engineering, Software, MLOps, Cloud, UX, Dataviz) 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.

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.

You' re interested in solving real world problems with AI? Join us for a sustainable, digital new electric world and make a true impact for sustainability.

Qualifications

• 10+ 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 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.

Great people make Schneider Electric a great company. To co-create tomorrow, we give our employees the opportunity to challenge the status quo and to undertake. We value diversity and promote well-being and flexibility within our work environment.

Present in 115+ countries around the world, we are the most local of global companies. We are advocates of open standards and partnership ecosystems that are passionate about our shared Meaningful Purpose, Inclusive and Empowered values. Take part in the Schneider Electric adventure, join us!