AI Engineering Manager

Key Skills

Algorithms, AWS, Azure, DevOps, Forecasting, Google-Analytics, Natural language generation- NLG, Natural Language Processing (NLP), Natural Language Understanding-NLU

Job Description

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 and AI. 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.

Artificial intelligence is a confluence of many different technologies working together to enable machines to sense, comprehend, act, and learn with human-like levels of intelligence. Technologies like Machine Learning and Natural Language Processing are all part of the AI landscape. Each one is evolving along its own path and, when applied in combination with data, analytics and automation, can help businesses achieve their goals, be it improving customer service or optimizing the supply chain.

As part of this AI Hub organization, we seek hire Sr AI Engineering Manager 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.

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.

About Us

Schneider Electric™ creates connected technologies that reshape industries, transform cities and enrich lives. Our 144,000 employees thrive in more than 100 countries. From the simplest of switches to complex operational systems, our technology, software and services improve the way our customers manage and automate their operations. Help us deliver solutions that ensure Life Is On everywhere, for everyone and at every moment: https://youtu.be/NlLJMv1Y7Hk.

Great people make Schneider Electric a great company.

We seek out and reward people for putting the customer first, being disruptive to the status quo, embracing different perspectives, continuously learning, and acting like owners. We want our employees to reflect the diversity of the communities in which we operate. We welcome people as they are, creating an inclusive culture where all forms of diversity are seen as a real value for the company. We’re looking for people with a passion for success — on the job and beyond. See what our people have to say about working for Schneider Electric: https://youtu.be/6D2Av1uUrzY.